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ack-solutionsack-solutions/claude-code-ai-skills/skills/security-audit/SKILL.md

security-audit

Skill1 starsChanged 44 days agoMITView on GitHub

Review application changes or flows for security and privacy risks involving authentication, authorization, sensitive data, uploads, dependencies, or abuse. Use for requested security audits and sensitive feature reviews.

192 other projects use a version of this.

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Used with

Projects with it also use create-stories, story-done and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
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    Also in 11 projects that use this

  • lilangMaxSkill

    story-done

    End-of-story completion review. Reads the story file, verifies each acceptance criterion against the implementation, checks for GDD/ADR deviations, prompts code review, updates story status to Complete, and surfaces the next ready story from the sprint.

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  • +7 more from lilangMax
  • +1 more from nicepkg

The file

We split this skill into the rules it gives an agent

2 rules. 0 are common, 2 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 173 edited versions we read keep these.

  • 2

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use authorized local/staging accounts and synthetic data.

    line 28
  2. Distinctive:

    Use the project's security-report format or this compact default per finding:

    line 34

“Common” is measured: kept by at least 6 in 10 of the 173 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Application security audit

Produce evidence-backed, application-specific findings. Follow the requested review/remediation scope; a review alone does not authorize changes to accounts, credentials, production or external systems.

Bound the review

Identify the affected assets, actors, entry points, trust boundaries and deployment assumptions from project instructions, requirements and code. Read the actual authentication/permission implementation and installed dependency versions. Use primary advisories and official documentation for current vulnerabilities or uncertain platform behaviour.

Follow plausible abuse paths

  • Authentication/session lifecycle: token verification, audiences, expiry, refresh/revocation, recovery, account linking and enumeration where relevant.
  • Authorization: enforce operation, object ownership, tenant/account boundaries and protected fields on the trusted server. Inspect alternate routes and background paths, not only UI visibility.
  • Inputs and outputs: injection, unsafe rendering, redirects, deserialization and unbounded resource consumption. Validate at the appropriate trust boundary.
  • Files/media: content checks, names/paths, access controls, signed-link exposure and processing limits.
  • Secrets/personal data: client bundles, logs, errors, analytics, exports, retention and deletion across derived stores. Use sanitized evidence.
  • Abuse: duplicate/replayed requests, expensive endpoints, messaging/contact leakage and moderation bypass where the product exposes them.
  • Dependencies/configuration: known applicable advisories, unsafe defaults, excessive permissions and environment differences. Verify reachability and prerequisites before declaring a package advisory exploitable here.

Map a finding to a concrete reachable path and expected protection. Check for controls that refute it and related occurrences. Distinguish confirmed findings, plausible risks needing validation and untested assumptions. Avoid generic checklist findings with no project evidence.

Verify safely and remediate when asked

Use authorized local/staging accounts and synthetic data. Build minimal tests for the access or validation invariant where useful. Avoid destructive probes or exporting sensitive records. Use remediation requests to fix the correct boundary and retest allowed as well as denied behaviour.

Privacy/legal implications depend on jurisdiction and facts. Identify engineering evidence and open compliance questions using current authoritative sources; do not certify legal compliance from a code review.

Report format

Use the project's security-report format or this compact default per finding:

  • Title and location: affected file/symbol or reachable operation.
  • Severity and confidence: use the project's severity scale, or Critical/High/Medium/Low with impact rationale; separately state confirmed evidence versus uncertainty. Do not invent a numerical confidence score.
  • Prerequisites and impact: required access/conditions and the affected assets or actors.
  • Evidence: reproducible path, relevant controls and sanitized observations.
  • Fix direction and verification: correct enforcement boundary, proposed regression checks and any checks actually run.

Include coverage and limitations. Omit empty findings when no actionable issue is found; state the bounded scope checked rather than asserting that the whole application is secure.

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