security-auditor
Skill7 starsChanged 6 days agoMITView on GitHub
Perform evidence-led security reviews of applications, APIs, infrastructure, dependencies, and changesets. Use for threat modeling, code review, pre-release checks, incident follow-up, or producing prioritized remediation plans; never use it to provide exploit instructions against systems without explicit authorization.
54 other projects use a version of this.
Adopted by
Most recently taken up by
- letscooktech-studio/ai-engineering-arsenalword for word, first seen Nov 8, 2026
- raphaeltm/simple-agent-managertheir own version, first seen Nov 7, 2026
- omspradippatil/Claude-Skillstheir own version, first seen Nov 1, 2026
- jaskirat1616/grok-skillstheir own version, first seen Nov 1, 2026
- vijaysuperpositionist/skillstheir own version, first seen Nov 1, 2026
- mrhinkle/VibeCoding-a-Websitetheir own version, first seen Nov 1, 2026
Used with
Projects with it also use proofreader, refactoring-guide 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.
xcrrrSkillproofreader
Use this skill when reviewing written content for grammar, spelling, punctuation, style consistency, and tone—before publishing, submitting, or sending. Trigger phrases: 'proofread this', 'check my writing', 'review this for errors', 'edit this email/report/essay'. Do NOT use when structural rewrites or content changes are needed—proofreading fixes surface errors, not substantive problems.
Also in 3 projects that use this
peopleforresterSkillrefactoring-guide
Safe refactoring patterns and techniques. Use when the user wants to improve code structure, reduce duplication, or make code more maintainable without changing behavior. Emphasizes incremental changes with test coverage.
Also in 3 projects that use this
zwjbendnSkillhabit-builder
Designs and manages healthy habits for sustainable weight loss through lifestyle change. Uses Atomic Habits / Tiny Habits methodology — small behaviors that compound over time. Use this skill when: the system needs to recommend a new habit after onboarding, a current habit graduates or fails, the user asks about building habits, or Weekly Review identifies a behavioral pattern worth addressing. Also use when evaluating habit progress, deciding when a habit has "graduated," or handling a restart after the user falls off. This skill does not send its own reminders — habit check-ins are woven into meal conversations managed by Notification Composer. This skill owns the check-in logic (when, how often, tone); Notification Composer provides the conversation vehicle.
Also in 3 projects that use this
juanlurgSkillsql-optimizer
Analyzes SQL queries and generates an optimization report notebook with explanations, identified issues, and rewritten queries. Use when the user wants to optimize, explain, improve, or debug a SQL query, or mentions query performance, slow queries, or SQL optimization.
Also in 3 projects that use this
belokonmSkilldata-scientist
Expert in statistical analysis, predictive modeling, machine learning, and data storytelling to drive business insights.
Also in 3 projects that use this
glinckerSkillqa-engineer
QA specialist agent for test planning, execution, and regression analysis
Also in 3 projects that use this
Other versions54 projects use a version of this.
Word for word · 1
- letscooktech-studio/ai-engineering-arsenal★ 7100% same
Edited · 0
None found.
Wrote their own version · 53
- pavel-molyanov/molyanov-ai-dev★ 299same name
- dralgorhythm/claude-agentic-framework★ 118same name
- nahisaho/MUSUBI★ 74same name
- raphaeltm/simple-agent-manager★ 69same name
- amanning3390/hermeshub★ 48same name
- jshsakura/awesome-opencode-skills★ 30same name
- Fandry96/k3-agentic-skills★ 27same name
- jaskirat1616/grok-skills★ 22same name
- mrhinkle/VibeCoding-a-Website★ 17same name
- jshearin01/agent-skills★ 16same name
43 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 repository17 other files it gives its agents.
- AGENTS.mdAGENTS.md
- agentic-skill-pack-integratorSkill
- ai-agent-architecture-reviewerSkill
- ai-search-optimizerSkill
- competitor-analyzerSkill
- cost-explosion-detectorSkill
- cto-operating-systemSkill
- database-architectSkill
- nextjs-production-architecture-reviewerSkill
- nvidia-accelerated-ai-systems-operatorSkill
- production-ai-saas-builderSkill
- production-risk-labSkill
- seo-auditorSkill
- startup-validatorSkill
- supabase-production-auditorSkill
- system-architectSkill
- technical-debt-hunterSkill
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 3 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 46 edited versions we read keep these.
3
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 33
Never expose real secrets in the report.
- Distinctive: line 39
After remediation, re-check the original path, add a regression test or policy control, and record any residual risk and review date.
- Distinctive: line 43
Treat the review as incomplete when authorization paths, data-access boundaries, deployment configuration, dependency lockfiles, or …
“Common” is measured: kept by at least 6 in 10 of the 46 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
Security Auditor
Apply the shared OutcomeLab skill standard for evidence, verification, risk, benchmarking, and improvement.
Turn an authorized system or codebase into a prioritized security decision record. Do not claim a vulnerability without a reproducible code path, configuration evidence, or an explicitly stated assumption.
Intake
Collect scope, authorization, data classification, deployment model, trust boundaries, authentication model, and the material under review. Ask for the repository, architecture, or a minimal reproducible slice when absent. State what could not be inspected.
Workflow
- Map assets, actors, entry points, trust boundaries, and privileged actions.
- Examine identity, authorization, input/output handling, secrets, dependencies, cryptography, logging, availability controls, and supply chain.
- Trace each suspected issue from attacker capability through vulnerable condition to impact. Prefer static evidence; recommend safe validation only when authorized.
- Rank findings by exploitability, blast radius, detection difficulty, and business sensitivity—not CVSS alone.
- Propose the smallest durable fix, test coverage, owner, and verification condition.
Output contract
Before the final report, produce a coverage map and evidence ledger. The coverage map lists asset, trust boundary, review depth, and unavailable surface. The ledger records each source location, attacker capability, vulnerable condition, affected asset, and counter-evidence. Classify entries as confirmed finding, hypothesis, review gap, or hygiene improvement; only confirmed findings belong in the severity queue.
Return an executive risk summary, a scope/assumptions section, a threat model, and a finding table with: ID, evidence, affected surface, preconditions, impact, severity, remediation, verification, and confidence. Separate confirmed findings from hypotheses and hygiene improvements.
Quality gates
- Cite a file, endpoint, configuration, or supplied artifact for every confirmed finding.
- Never expose real secrets in the report; redact them and recommend rotation.
- Include at least one negative test for each proposed authorization or validation fix.
- Mark the review incomplete if critical surfaces were unavailable.
Improvement loop
After remediation, re-check the original path, add a regression test or policy control, and record any residual risk and review date.
Failure detection
Treat the review as incomplete when authorization paths, data-access boundaries, deployment configuration, dependency lockfiles, or critical evidence are unavailable. Flag a finding that lacks a source location, plausible precondition, safe verification, or distinction between code behavior and runtime assumption.
Does it work?
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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.

