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.
Adopted by
Most recently taken up by
- argos-ci/argostheir own version, first seen Nov 9, 2026
- classroomio/classroomiotheir own version, first seen Nov 9, 2026
- dio-az/dotfilestheir own version, first seen Nov 8, 2026
- roke22/Squadratheir own version, first seen Nov 8, 2026
- qwwiwi/agentos-skills-publictheir own version, first seen Nov 8, 2026
- craigcossairt/trellistheir own version, first seen Nov 8, 2026
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.
lilangMaxSkillcreate-stories
Break a single epic into implementable story files. Reads the epic, its GDD, governing ADRs, and control manifest. Each story embeds its GDD requirement TR-ID, ADR guidance, acceptance criteria, story type, and test evidence path. Run after /create-epics for each epic.
Also in 11 projects that use this
lilangMaxSkillstory-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.
Also in 11 projects that use this
nicepkgSkillcommunity-led-growth
Expert in community-led growth (CLG) - leveraging user communities to drive acquisition, retention, and expansion. Covers building developer communities, user groups, ambassador programs, and turning customers into advocates. Knows the difference between community as a feature vs community as a growth engine, and how to measure community ROI. Use when "community-led, CLG, ambassador program, champion program, user community, developer community, word of mouth, user group, " mentioned.
Also in 5 projects that use this
nicepkgSkillph-community-outreach
Engage Reddit, Indie Hackers, Hacker News and other communities for Product Hunt launches. Use this skill to identify relevant communities, craft appropriate posts, and drive cross-platform engagement without appearing spammy.
Also in 5 projects that use this
- +7 more from lilangMax
- +1 more from nicepkg
Other versions192 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 192
- ruvnet/claude-flow★ 80ksame name
- ruvnet/ruflo★ 79ksame name
- PostHog/posthog★ 40ksame name
- Donchitos/Claude-Code-Game-Studios★ 27ksame name
- cloudflare/security-audit-skill★ 18ksame name
- rommapp/romm★ 14ksame name
- kubeshark/kubeshark★ 12ksame name
- maximhq/bifrost★ 9.4ksame name
- mono/SkiaSharp★ 5.6ksame name
- MaxMiksa/Auto-Company★ 3.2ksame name
182 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository12 other files it gives its agents.
- templates/CLAUDE.mdCLAUDE.md
- code-qualitySkill
- data-integritySkill
- design-qualitySkill
- feature-deliverySkill
- growth-strategySkill
- performance-reviewSkill
- product-designSkill
- product-planningSkill
- product-qualitySkill
- release-engineeringSkill
- systematic-debuggingSkill
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
- Distinctive: line 28
Use authorized local/staging accounts and synthetic data.
- Distinctive: line 34
Use the project's security-report format or this compact default per finding:
“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.
Files
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.
Does it work?
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- It worked
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

