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Cross Vendor Security Audit skill

Security guidance and vulnerability review for codebases, APIs, services, CLI tools, libraries, and daemons, in which a model from another vendor re-reads everything the audit set aside. Use for security questions, focused reviews, vulnerability research, security audits, or pen tests.

$npx alyn-cli add cross-vendor-security-audit
View this skill on GitHubsno-ai/sno-station-skills/skills/J-peer-review-and-audit/cross-vendor-security-audit/skill/SKILL.md
Pack stars
864
Pack installs
38
Alyn Score
59/99
Updated
2 days ago
License
Apache-2.0

What is the Cross Vendor Security Audit skill?

Cross Vendor Security Audit is a security skill by sno-ai for Claude Code, Cursor, Codex and other AI coding agents. Security guidance and vulnerability review for codebases, APIs, services, CLI tools, libraries, and daemons, in which a model from another vendor re-reads everything the audit set aside. Use for security questions, focused reviews, vulnerability research, security audits, or pen tests.

This is Cloudflare's security-audit-skill at commit c1c8a8c, used under its MIT license (LICENSE-MIT-cloudflare in this folder), with one addition. In the upstream workflow a hunter can file a real defect as a hardening note, a verifier can reject a true candidate with a plausible reason, and a deferred area may never be read; nothing reads that pile again. Here, before the report, a reviewer from a different model vendor reads every item the run set aside, and anything it…

When to use it

Use for security questions, focused reviews, vulnerability research, security audits, or pen tests.

What the SKILL.md covers

  • Operating modes
  • Platform terminology
  • Universal execution safety
  • Full audit setup
  • Write isolation
  • Full audit planning
  • Coverage and prior runs
  • Run profiles and scope
  • Core principles
  • Require a boundary and result
Author
sno-ai
Pack
sno-ai/sno-station-skills (21 skills)
Category
Security, #209 of 273
Alyn Score
59 / 99
Files
23, includes scripts
License
Apache-2.0
Last updated
2 days ago
Works with
Claude Code, Claude, Cursor, Codex, Gemini CLI, Copilot

Cross Vendor Security Audit compared to similar skills

SkillAlyn ScoreGitHub starsUpdated
Cross Vendor Security Audit · sno-ai598642 days ago
Security Audit · Cloudflare8073k2 months ago
Security Audit · laolaoshiren449095 days ago
Sn Deep Research · OpenSenseNova656.1k3 days ago

Install Cross Vendor Security Audit

Pick your agent. Every command is ready to paste.

$npx alyn-cli add cross-vendor-security-audit

Detects your agents (Claude Code, Cursor, Codex and 70+ more) and installs to the right folder. Add -g to install globally.

$npx skills add sno-ai/sno-station-skills --skill cross-vendor-security-audit

Or use the open skills CLI directly.

01

Install it

Run the command above, or upload the folder in Claude.

02

Ask naturally

Describe the task. Your agent loads cross-vendor-security-audit when the request matches its description.

03

Name it if needed

If it does not trigger, say “use the cross-vendor-security-audit skill”. In Codex, type $cross-vendor-security-audit.

The skill itself

SKILL.md

FolderGitHub

Cross-Vendor Security Audit

This is Cloudflare's security-audit-skill at commit c1c8a8c, used under its MIT license (LICENSE-MIT-cloudflare in this folder), with one addition. In the upstream workflow a hunter can file a real defect as a hardening note, a verifier can reject a true candidate with a plausible reason, and a deferred area may never be read; nothing reads that pile again. Here, before the report, a reviewer from a different model vendor reads every item the run set aside, and anything it revives goes back through validation. The step is "Second look at everything set aside" in VALIDATION-AND-REPORTING.md. We added it after a trial on two open-source projects with known, already-fixed vulnerabilities: both bugs the first pass saw and set aside came back through this step, and one of them only when the reviewer came from the other vendor. Two projects make a story, not a rate.

Find vulnerabilities that violate a real trust boundary, then give owners the source evidence, safe reproduction, priority, and smallest effective fix. This is a defensive, source-first workflow. A candidate without a concrete affected principal, resource, or security outcome is not a confirmed finding.

Operating modes

This skill is guidance by default. Loading it does not authorize the complete audit workflow or file creation.

  • Guidance mode: For security questions, focused reviews, methodology, triage, or investigation of specific findings, use only the relevant parts of this skill. Do not automatically run all six phases, create an output directory, or write audit artifacts. You may launch focused agents when useful; they return results to the current task.
  • Full audit mode: Use the complete workflow when the user explicitly asks to audit or pen-test a codebase, asks for a full, comprehensive, or end-to-end security review, or requests report artifacts. Run all six phases and write the files defined below.

If the request could mean either mode, ask one focused question before creating files or starting the complete workflow.

Platform terminology

This skill is agent-neutral:

  • Parent is the agent that coordinates the run and owns shared state.
  • Task tool is the platform's delegation or sub-agent mechanism.
  • research agent is a delegated agent for focused source exploration and factual verification.
  • general agent is a delegated agent for broad investigation and bounded local execution.
  • subagent_type: in a heading names which of these two delegated agent roles runs that work.

Use equivalent platform capabilities while preserving role, write-isolation, prompt, and independence boundaries.

Universal execution safety

These rules apply in both operating modes. Source inspection is read-only. Run target-controlled builds, tests, processes, browsers, emulators, fuzzers, and fixture processing only inside an OS-enforced sandbox that provides all of these controls:

  • no external network; use only an isolated loopback namespace when the check needs local client/server traffic;
  • an empty environment populated from an explicit allowlist with safe values, with scratch-local HOME, temporary directories, and caches;
  • a read-only target and toolchain, with the target-controlled process able to write only inside its assigned scratch/ directory; and
  • explicit low CPU, memory, process, file-size, disk, and wall-clock limits.

The agent, outside the target-controlled process, may make a disposable source copy in an assigned scratch/ directory when a build must write beside source. In guidance mode, do not retain target-controlled files. In full audit mode, only trusted parent-side code may promote the minimum non-secret result to retained artifacts/ using the procedure under Write isolation. Never expose a retained output directory (other than the agent's own assigned scratch/), another agent's directory, the host home directory, credentials, sockets, or shared services to target code. Do not install dependencies or let builds fetch them. Use only tools and dependencies already available locally. If every control cannot be enforced, do not execute target code: report the missing sandbox capability as a needs-validation blocker and give a safe validation plan.

Use dummy principals, fixtures, and secrets. Do not probe deployed endpoints, external services, shared infrastructure, production identities, other users' data, or live control planes. Do not test availability against a live or shared process, publish artifacts, alter releases, spend paid API quota, or continue beyond the minimum local effect needed to establish a defect. If the decisive fact is outside source or the sandboxed fixture, report it as needing validation.

Full audit setup

In full audit mode, resolve these values before reconnaissance:

  • Skill directory: the absolute directory containing this SKILL.md.
  • Target: the absolute repository root under review.
  • Repo name: a stable repository identifier from the directory or local Git remote.
  • Output directory: a new writable directory outside the target, defaulting to ~/security-audit-skill/<repo-name>/run-<N>, where <N> is the next unused integer. Use a directory inside the target only when the user explicitly selects it and the parent verifies that version control ignores the whole directory. Otherwise stop and request an external path.
  • Source ref: the reviewed commit and whether the worktree is dirty. Do not treat unreviewed generated or modified files as another revision.

Write isolation

The parent creates and is the only writer of shared run files:

  • run-metadata.json
  • architecture.md
  • coverage-ledger.json
  • findings.json
  • REPORT.md
  • FINDINGS-DETAIL.md
  • NEEDS-VALIDATION.md
  • second-look.json

Each hunter or verifier receives a unique root under <output-dir>/agents/<agent-id>/, with separate scratch/ and artifacts/ directories. Canonical agent IDs match ^[a-z0-9][a-z0-9_-]{0,63}$ and must not equal a Windows device name such as con, prn, aux, nul, com1 through com9, or lpt1 through lpt9. Lowercase IDs prevent case-fold collisions. The agent and every target-controlled process may write only to scratch/; retained artifacts/ is parent-owned, is never exposed to the sandbox, and is writable only by trusted parent-side promotion code. Agents may not change shared files, target source, retained artifacts, or another agent's directory. Do not use /tmp or the host home directory as a writable fallback.

Before execution, the parent opens and retains trusted, non-inheritable directory descriptors for the agent's scratch/ and artifacts/ roots, and records an allowlist of expected scratch-relative artifact files plus explicit per-file and cumulative byte limits. Never pass those descriptors to the agent or sandbox. After the sandbox and all its processes terminate, trusted parent-side code promotes each allowlisted file separately:

  1. Validate the declared relative path: reject absolute, empty, ., .., or symlinked components.
  2. Walk each parent component from the retained scratch-root descriptor with no-follow directory-relative operations; never reopen by path.
  3. Open the leaf no-follow and nonblocking.
  4. Verify with fstat that it is a regular file with link count exactly one and within the recorded per-file and cumulative byte limits.
  5. Enforce those limits again while reading from that descriptor.
  6. Copy exactly the verified size, repeat fstat, and reject a changed identity, type, link count, or size.
  7. For the destination, walk every parent component from the retained artifacts-root descriptor with no-follow directory-relative operations; require each existing component to be a real directory, and create any missing directory exclusively before reopening and verifying it no-follow.
  8. Create the leaf exclusively without following links, verify that the opened destination is a regular file with link count exactly one, and copy from the verified source descriptor without reopening either path.
  9. Use equivalent race-safe APIs on non-POSIX systems.
  10. Never recursively copy or glob scratch, extract an archive into artifacts, or open or promote a symlink, FIFO, socket, device, directory, hard-linked file, changing file, or file that exceeds its bound.
  11. If any check is unavailable, cannot be enforced, or fails, discard the scratch entry; if it is decisive evidence, retain needs_validation with the exact promotion blocker.

HUNTING.md and VALIDATION-AND-REPORTING.md carry this procedure as one identical fenced block for hunter and verifier prompts; it states the same rules in the same order as this list.

For a reproduced check, record the command, exact test input, sandbox limits, and only the allowlisted environment variable names plus safe non-secret values needed to reproduce it. Never capture or copy the ambient environment, inherited variables, credential values, authentication state, or unrelated host paths. Launch from an empty environment rather than trying to redact one after execution.

Before delegation, the parent writes run-metadata.json with at least run_id, repo, target, source_ref, profile, scope_paths, budget (null if unset), execution_policy: "sandboxed-source-and-local-only", selected companion files, prior-run paths, shared-file owners, and run_status: "in_progress". Update metadata only when those facts change; candidate state belongs in the coverage ledger and findings.json.

Full audit planning

The coverage, prior-run, profile, and budget requirements in this section apply only in full audit mode.

Coverage and prior runs

No one pass is complete. Build a deterministic coverage plan before hunting and update it after every agent result. RECONNAISSANCE.md defines the stable coverage units and HUNTING.md defines coverage-critic waves. The parent alone updates the ledger.

If prior runs exist, read every compatible coverage-ledger.json and findings.json before planning the current run:

  1. Compare the relevant current source with each prior record and unit. A prior source ref alone is not evidence that a path is unchanged.
  2. Carry a prior confirmed record into the current candidate set only when its relevant source and conditions are unchanged and its evidence still meets the current contract. Link it to a current ledger unit seeded planned, preserve its fingerprint, exclude only that carried root cause from hunters, and send the carried record through the current final verification path; the Phase 3 verifier that re-checks it becomes that unit's assignment owner and moves it to candidate.
  3. When relevant source for a prior confirmed record changed, create a current planned revalidation unit. Do not put that record on the hunter exclusion list. It remains confirmed only if current independent validation establishes the current path and result.
  4. Make prior needs_validation, deferred, blocked, out_of_scope, and any changed-source unit current work. A still-external needs_validation record may be carried only after the current source trace is checked and linked by fingerprint to a current planned unit whose verifier re-check supplies its owner and evidence; the record keeps the unresolved blocker. These prior states never suppress a current unit.
  5. A prior same-source covered unit may inform priority, but it remains visible in the current ledger. A prior rejected record suppresses only the unchanged failed claim, not coverage of its unit; changed evidence creates current work.
  6. Read the prior profile and scope. A prior quick or scoped ledger contributes only its recorded evidence and gaps, never an implied "rest is fine."

If no prior ledger exists, say so in the final coverage statement. Never imply that one run exhausts the target.

Run profiles and scope

During full audit setup, pick a profile from the user's request or propose one from the target's size and stakes. Record it in run-metadata.json (profile, scope_paths) and state it in the report. The default is standard.

  • quick — a bounded pass for small targets, re-runs, or a fast first look. Coarsen ledger units to surface × boundary × attack class (subsystem uses the fixed canonical profile/quick/all-in-scope-subsystems identifier), run exactly one hunter wave followed by exactly one final coverage-critic pass, and use one fresh verifier per candidate for both candidate validation and final record verification. Do not launch a follow-up hunter wave: record the critic's accepted discoveries and reassignments as deferred.
  • standard — the workflow as written.
  • deep — for high-stakes or large targets. Split ledger units per subsystem and lifecycle mode, run critic waves to a clean pass, keep candidate validation and final record verification as separate fresh agents, and give prior_covered_same_source units an independent second pass.

A scoped run audits a subset: named paths, one subsystem, one companion domain, or the diff between two source refs. Seed ledger units only for in-scope surfaces and record everything else as out_of_scope — never as covered. A scoped or quick run must present itself as partial coverage.

Profiles change breadth and redundancy, never the evidence bar. Do not scale away the candidate gate, the source/local execution boundary, needs_validation discipline, schema validation, independent verification of confirmed records, or the second look at everything set aside.

Cost budget

The ledger makes spend countable: one unit is roughly one hunter assignment, and one surviving candidate is one or two verifier assignments depending on profile. When the user sets a budget — or the parent proposes one for a large target — record budget in run-metadata.json as a maximum number of agent invocations across all phases.

Apply the strict budget gate before launching any reconnaissance agent. Reserve the four baseline reconnaissance calls, one final post-wave critic for quick or one post-wave plus one distinct final-clean critic for standard/deep, at least one verifier call, and the one second-look reviewer call. Add focused reconnaissance only after repeating this gate for each extra call. If the requested budget cannot fund that minimum, launch no agent: ask for a larger budget, narrower scope, or different profile. If the request remains unchanged, set run_status: "incomplete" with incomplete_reason: "budget_cannot_fund_reconnaissance_and_reserves" and report that no audit pass ran.

Spend it in this order:

  1. Count reconnaissance, every post-wave critic, and the separate final-clean critic as agent invocations.
  2. Reserve critics and validation before hunting. For quick, reserve its one post-wave final critic. Before every standard or deep hunter wave, reserve one immediate post-wave critic plus one distinct final-clean critic. Also reserve verifier cost from the profile (about 1 or 2 agents per expected candidate; when in doubt reserve 30% of the balance after critic reservation), plus the one second-look reviewer call. Never assign hunters into these reserves.
  3. Assign hunters to units in priority order until the hunting allowance is spent. Spend the reserved post-wave critic immediately after that wave; keep the final-clean and validation reserves intact.
  4. Before a later wave, reserve its new post-wave critic again. If the remaining budget cannot cover the required critic calls and validation reserve, launch no hunters from that wave, mark its planned units deferred with reason budget_cannot_reserve_critics_and_validation, and use the retained final-clean critic to record the resulting gap.

Before wave 1, update the pre-recon estimate with seeded units, implied hunter count, mandatory critic calls, validation reserve, and whether the remaining budget covers the plan. If it clearly cannot, say so and propose either a tighter scope or a coarser profile instead of silently thinning evidence. If later facts consume the required final-critic reserve, launch no hunters, mark all planned work deferred, set the run incomplete with reason critic_budget_exhausted, and make no complete-coverage claim.

A strict total-agent budget can still be exceeded by an unexpectedly large candidate set or by a material Phase 5 replacement that needs another independent verifier. If the remaining budget cannot validate every candidate, stop hunting, validate candidates in fingerprint order while the budget permits, and set run_status: "incomplete" plus incomplete_reason: "validation_budget_exhausted". Keep each unvalidated fingerprint linked to a candidate ledger unit with that unresolved reason. Do not put an unvalidated candidate in findings.json, relabel it needs_validation, or report the run as complete. Phase 6 may produce a partial report only if its first section states that candidate validation is incomplete and lists the affected fingerprints and units. Never exceed a user-set strict budget silently.

Core principles

Require a boundary and result

For every candidate, name the lower-trust principal, accepted input or action, intended control, crossed boundary, affected principal or resource, and concrete observed or owner-observable result. Do not elevate a missing best practice, guessed deployment behavior, generic parser crash, or self-impact into a security finding.

Use bounded local evidence

Static analysis establishes the source path. Sandboxed local tests resolve behavior when all execution controls are available: a minimal function harness, existing unit test, small parser fixture, dummy-tenant integration test, locally rendered configuration, or bounded isolated-loopback client. Stop at a wrong return value, unauthorized dummy record, sanitizer finding, policy difference, or other minimum effect. Do not extend the local check beyond the minimum boundary result or produce persistence, post-fault, or concealment material.

Respect source visibility

Deployment controls, proxy behavior, provider settings, browser headers, identity policy, broker ACLs, packaging, and topology are real controls. If they are required and absent from the repository, do not assume either presence or absence. Use needs_validation with the exact missing fact and a safe owner-observed or local plan.

Separate priority from certainty

Only confirmed records receive severity. Likelihood and impact must reflect the demonstrated conditions and result; overall severity cannot exceed demonstrated impact. needs_validation means a specific source-grounded boundary hypothesis is blocked, not a low-confidence confirmed vulnerability, and it has no severity.

Calibrate overall severity with these anchors:

  • critical — an unauthenticated actor gains code execution, full data-store access, or takeover of arbitrary accounts.
  • high — an actor fully defeats an explicit security control with real consequences: authentication bypass, cross-tenant read or write, stored script execution affecting other users, authenticated code execution, or an unauthenticated remote stop of a shared service.
  • medium — a real boundary violation with limited blast radius, uncommon preconditions, or consequences confined to a narrow resource set.
  • low — disclosure of non-secret internals, or an effect requiring sustained effort for minimal gain.
  • informational — a confirmed but minimal-impact observation, useful mainly as a prerequisite inside a larger finding.

The high/medium discriminator: does the demonstrated result fully defeat an explicit control for an action with real consequences, or only weaken it? If you cannot state the concrete damage, the severity is lower than it feels.

Recommend the smallest effective source fix

For each confirmed finding, identify the invariant the code must enforce and the narrowest source change that enforces it at the last trusted decision point. Prefer specific repository-relative changes and regression tests over generic hardening advice. The audit describes fixes; it does not modify target source.

Full audit workflow

In full audit mode, follow all six phases in order:

  1. Reconnaissance — map the source, trust boundaries, local build paths, companion selections, prior evidence, and initial deterministic coverage ledger with RECONNAISSANCE.md.
  2. Coverage-led hunting waves — assign isolated hunters from the ledger and collect structured candidate results with HUNTING.md, ATTACK-CLASSES.md, and the selected domain companions.
  3. Candidate validation — consolidate fingerprints and give every candidate to a fresh source verifier as defined in VALIDATION-AND-REPORTING.md.
  4. Structured output — write all final confirmed, needs_validation, and rejected records to findings.json; validate it with report-schema.json and validate-findings.cjs, and validate the coverage claim with validate-coverage-ledger.cjs.
  5. Independent record verification — use fresh agents to verify final source claims and reconcile corrections or state changes, then give everything the run set aside to a reviewer from another model vendor and validate whatever it revives (the closing step of Phase 5 in VALIDATION-AND-REPORTING.md).
  6. Target-neutral report — derive REPORT.md, FINDINGS-DETAIL.md, and NEEDS-VALIDATION.md from the final records, with no live-probe instructions.

Do not end the run before one of exactly two terminal states: (a) all Phase 6 artifacts are written and both validators pass, or (b) run_status: "incomplete" is recorded with its exact reason and the gap is disclosed in the report. Never stop mid-phase.

Anti-patterns

  1. Checklist deviations presented as vulnerabilities.
  2. Defense-in-depth advice with no reachable boundary violation.
  3. Live or shared-environment testing where bounded local evidence is insufficient.
  4. Guessing provider, proxy, browser, identity, or deployment behavior not present in source.
  5. Treating intended same-principal authority or self-impact as a cross-boundary result.
  6. Reporting a parser or runtime effect stronger than the observed effect.
  7. Emitting prose-only hunter results that cannot be deduplicated or verified.
  8. Re-reporting carried same-source prior confirmed records or using them as exemplars that anchor the hunt.
  9. Assigning severity to needs_validation records.
  10. Writing the report before independent verification or letting prose and JSON disagree.

Tips for Cross Vendor Security Audit

  • • Start a fresh session after installing so your agent picks up the new skill.
  • • This skill ships scripts. Read them before the first run, and run it in a project without secrets first.
  • • It is part of a pack with 21 skills. Install only the ones you need with --skill to keep triggers precise.
  • • If two skills overlap, mention the one you want by name.

Questions about Cross Vendor Security Audit

What does the Cross Vendor Security Audit skill do?

Security guidance and vulnerability review for codebases, APIs, services, CLI tools, libraries, and daemons, in which a model from another vendor re-reads everything the audit set aside. Use for security questions, focused reviews, vulnerability research, security audits, or pen tests.

How do I install Cross Vendor Security Audit?

Run "npx alyn-cli add cross-vendor-security-audit" in your project. The Alyn CLI installs it for Claude Code, Cursor, Codex and 70+ other agents. In Claude on the web, upload the skill folder as a ZIP under Customize > Skills.

Does Cross Vendor Security Audit work in Cursor and Codex?

Yes. Cross Vendor Security Audit uses the open SKILL.md format, so it works in Claude Code, Claude, Cursor, OpenAI Codex, Gemini CLI, GitHub Copilot and other agents that support agent skills.

When should I use the Cross Vendor Security Audit skill?

Use for security questions, focused reviews, vulnerability research, security audits, or pen tests.

What is inside the Cross Vendor Security Audit skill?

The SKILL.md covers Operating modes, Platform terminology, Universal execution safety, Full audit setup, Write isolation, Full audit planning, and the skill folder has 23 files including scripts.

What is a good alternative to Cross Vendor Security Audit?

Security Audit by Cloudflare is the highest-ranked similar skill from another creator, with an Alyn Score of 80 compared to 59 for Cross Vendor Security Audit.

Is Cross Vendor Security Audit free?

Cross Vendor Security Audit is open source on GitHub under the Apache-2.0 license. It is free to install; check the license before commercial use.

Who made Cross Vendor Security Audit?

Cross Vendor Security Audit is published by sno-ai in the sno-ai/sno-station-skills repository, together with 20 other skills.

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