security-review
Skill1 starsChanged 3 months agoMITView on GitHub
Security review of a codebase or authorized target: OWASP Top 10, secrets, auth, input validation, supply chain, CI hygiene. Use for a security audit, CVE check, pentest-style review, hardening, or secret leaks.
- Reads credentials
192 other projects use a version of this.
Adopted by
Most recently taken up by
- AOSSIE-Org/Resonate-Websitetheir own version, first seen Nov 9, 2026
- dimastriann/odoo-erp-mcptheir own version, first seen Nov 8, 2026
- ksprashu/agent-skill-forgetheir own version, first seen Nov 8, 2026
- enes-alatas/spooltheir own version, first seen Nov 8, 2026
- sgaabdu4/appwrite-backendtheir own version, first seen Nov 8, 2026
- AndersonAndrad/skillstheir own version, first seen Nov 8, 2026
Used with
Projects with it also use linkerd-patterns, dependency-cve-sweep 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.
xfstudioSkilllinkerd-patterns
Implement Linkerd service mesh patterns for lightweight, security-focused service mesh deployments. Use when setting up Linkerd, configuring traffic policies, or implementing zero-trust networking with minimal overhead.
Also in 5 projects that use this
berntpoppSkilldependency-cve-sweep
Use when handling Dependabot PRs, CodeQL/Trivy alerts, or doing a routine dependency/CVE sweep for this repo.
Also in 12 projects that use this
berntpoppSkillfleet-standard-adoption
Use when bringing this repo into compliance with a GeneFoundry fleet standard (tool-naming, response-envelope, container-hardening, versioning, MCP transport, or logging) or closing its tracking issue.
Also in 12 projects that use this
HABUBUSSSkillproject-guidelines-example
Also in 16 projects that use this
niloykumarbarmanSkillagent-sort
Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.
Also in 13 projects that use this
royaluniondesign-sysSkillconfigure-ecc
Interactive installer for Everything Claude Code — guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.
Also in 11 projects that use this
- +2 more from berntpopp
Other versions192 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 192
- affaan-m/ECC★ 246ksame name
- github/awesome-copilot★ 41ksame name
- langfuse/langfuse★ 37ksame name
- nearai/ironclaw★ 13ksame name
- joe-bell/cva★ 6.9ksame name
- doorkeeper-gem/doorkeeper★ 5.5ksame name
- github/squad★ 3.4ksame name
- compozy/compozy★ 2.9ksame name
- getsentry/sentry-python★ 2.2ksame name
- trycompai/comp★ 2.1ksame 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/AGENTS.mdAGENTS.md
- templates/CLAUDE.mdCLAUDE.md
- adversarial-reviewSkill
- architect-reviewSkill
- delivery-loopSkill
- fast-pr-workflowSkill
- orchestratorSkill
- post-merge-cleanupSkill
- qa-automationSkill
- see-it-liveSkill
- task-researchSkill
- web-devSkill
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.
0
Common
Most of the 167 edited versions we read keep these.
1
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 24
If any of it is unclear, stop and ask before sending packets.
“Common” is measured: kept by at least 6 in 10 of the 167 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 review
For a general break-it pass use adversarial-review. Per-category commands and grep patterns live in references/checklist.md; work from it during the pass.
Authorization gate
Codebase review (static) needs no gate; read freely. Before testing any running system, confirm in writing:
- The system is ours, a CTF, a personal lab, or a paid engagement.
- The in-scope targets and the explicitly out-of-scope ones.
- The allowed methods (DoS, social engineering and supply-chain attacks are out by default) and the disclosure rules.
If any of it is unclear, stop and ask before sending packets.
Decision rules
- String-built SQL, shell commands or templates fed user input are blockers: parameterized queries and argument arrays only.
- Validate every external input at the boundary with a schema; type coercion is not validation.
- Authorization is per request: every endpoint asks whether this user may touch this resource.
- Secrets live in env or a secret store, scoped per environment, never echoed to logs. Hardcoded fallbacks and committed
.envfiles are blockers. Rotate on departure or runner replacement. - Library crypto only; never
Math.random()for tokens, never fast hashes for passwords. - Wildcard CORS with credentials is a blocker. Verify JWT signature,
algandexpbefore reading claims. - Server-side fetches of user URLs are SSRF until proven otherwise: allowlist hosts, block metadata and link-local ranges.
- JSON is safe to deserialize; any richer format on untrusted input needs scrutiny.
- Untrusted LLM input is data, not instructions: delimit it, and verify model output before acting on it.
- CI: workflow
permissions:least-privilege, third-party actions pinned to a commit SHA, base images pinned by digest, lockfile committed, no publishing from a laptop and no secrets exposed to fork builds.
Categories
Codebase: secrets, input validation, injection, authn and authz, XSS and encoding, CSRF and CORS, SSRF, crypto, deserialization, supply chain, logging, LLM-specific.
Live target (authorized only): recon, auth surface, web app, API, infra.
Findings
Severity: Blocker (correctness, security, data loss) / Should-fix (compounding design debt) / Nit.
Each finding: severity with reasoning, location (path:line or URL and parameter), reproduction (steps or a curl one-liner), attacker impact, and the specific fix.
Out of bounds
Unauthorized targets, mass exploitation or destructive payloads, detection evasion for malicious use, compromising third-party packages, and DoS testing without written approval.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
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.

