security-review
Skill1 starsChanged 17 days agoMITView on GitHub
Assess application code, architecture, dependencies, configuration, and data flows for security weaknesses. Use when reviewing authentication, authorization, APIs, secrets, input handling, infrastructure, or security-sensitive changes.
We split this skill into the rules it gives an agent
20 rules. 0 are common, 20 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 167 edited versions we read keep these.
20
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
Consider confidentiality, integrity, availability, and privacy impacts.
- Distinctive: line 28
Check authentication and session-management behavior.
- Distinctive: line 29
Verify authorization on every sensitive server-side operation.
- Distinctive: line 30
Look for insecure direct object references and cross-tenant access.
- Distinctive: line 31
Check role enforcement, privilege escalation, and default permissions.
- Distinctive: line 36
Check for injection, unsafe deserialization, path traversal, and command execution.
- Distinctive: line 38
Verify that output is safely encoded for its destination.
- Distinctive: line 39
Check error messages for sensitive information leakage.
- Distinctive: line 42
Look for hardcoded credentials, tokens, private keys, and sensitive configuration.
- Distinctive: line 43
Check whether secrets are logged, returned in responses, or exposed to clients.
- Distinctive: line 45
Verify that sensitive information is accessible only to authorized components.
- Distinctive: line 46
If a real secret is exposed, recommend revocation or rotation.
- Distinctive: line 51
Check environment-specific configuration and debug settings.
- Distinctive: line 56
Check for prompt injection through user inputs, documents, and tool outputs.
- Distinctive: line 57
Verify that tools enforce authorization independently of model instructions.
- Distinctive: line 58
Check for unintended data exposure, excessive tool permissions, and unsafe side effects.
- Distinctive: line 60
Test whether retrieved content can influence actions outside its permitted scope.
- Distinctive: line 65
Use safe, authorized tests only.
- Distinctive: line 66
Do not access real user data, exploit production systems, or perform destructive actions without explicit authorization.
- Distinctive: line 67
Avoid claiming that a system is secure simply because no findings were identified.
“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
Objective
Identify exploitable weaknesses, explain their impact, and recommend practical mitigations based on evidence and the application's threat model.
Workflow
- Establish scope
- Identify the components, changes, assets, and trust boundaries being reviewed.
- Understand the application's intended users and deployment environment.
- Identify sensitive data, privileged operations, and external dependencies.
- Review relevant security requirements and repository instructions.
- Build a threat model
- Identify valuable assets and possible attackers.
- Trace untrusted inputs and data crossing trust boundaries.
- Identify entry points, privileges, and security assumptions.
- Consider confidentiality, integrity, availability, and privacy impacts.
- Prioritize threats according to likelihood and potential consequence.
- Review identity and access
- Check authentication and session-management behavior.
- Verify authorization on every sensitive server-side operation.
- Look for insecure direct object references and cross-tenant access.
- Check role enforcement, privilege escalation, and default permissions.
- Confirm that revocation and expiration behavior are appropriate.
- Review input and output handling
- Inspect validation, normalization, encoding, and parsing.
- Check for injection, unsafe deserialization, path traversal, and command execution.
- Review file uploads, redirects, URL handling, and server-side request forgery risks.
- Verify that output is safely encoded for its destination.
- Check error messages for sensitive information leakage.
- Review secrets and data protection
- Look for hardcoded credentials, tokens, private keys, and sensitive configuration.
- Check whether secrets are logged, returned in responses, or exposed to clients.
- Review encryption, key management, retention, and deletion requirements.
- Verify that sensitive information is accessible only to authorized components.
- If a real secret is exposed, recommend revocation or rotation; removing it from the latest commit alone may not be sufficient.
- Review dependencies and infrastructure
- Inspect dependency versions, known vulnerabilities, and untrusted packages.
- Review container privileges, filesystem permissions, and exposed network services.
- Check environment-specific configuration and debug settings.
- Examine CI/CD permissions, build provenance, and secret handling.
- Recommend supported dependency updates and configuration hardening where justified.
- Review AI and agent-specific risks
- Check for prompt injection through user inputs, documents, and tool outputs.
- Verify that tools enforce authorization independently of model instructions.
- Check for unintended data exposure, excessive tool permissions, and unsafe side effects.
- Validate model outputs before passing them into privileged operations.
- Test whether retrieved content can influence actions outside its permitted scope.
- Validate findings
- Support each finding with a concrete code path, configuration, or reproducible test.
- Distinguish confirmed vulnerabilities from plausible concerns.
- Use safe, authorized tests only.
- Do not access real user data, exploit production systems, or perform destructive actions without explicit authorization.
- Avoid claiming that a system is secure simply because no findings were identified.
Finding format
For each finding, include:
- Severity: Critical, High, Medium, Low, or Informational.
- Location: exact file, configuration key, or affected component.
- Evidence: the vulnerable behavior or security assumption.
- Attack scenario: the conditions under which the weakness could be exploited.
- Impact: the potential consequence.
- Recommendation: a specific, actionable mitigation.
- Verification: how the correction can be tested.
Prioritize findings using actual exploitability and impact. Do not assign severity solely because a weakness belongs to a familiar vulnerability category.
Final report
Include the scope, assumptions, findings ranked by severity, recommended mitigations, tests performed, and remaining risks. Clearly state what was not reviewed.
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
- compozy/compozy★ 2.8ksame name
- getsentry/sentry-python★ 2.2ksame name
- trycompai/comp★ 2.1ksame name
- xu-xiang/everything-claude-code-zh★ 1.9ksame 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.
Used alongsideProjects with it also use dependency-cve-sweep, fleet-standard-adoption 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.
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
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 12 projects that use this
ysyecustSkillbrand-discovery
Use when a brand needs to discover or articulate its identity through structured multi-session interviews. Covers purpose, positioning, audience, personality, voice, narrative, and founder-brand tension across 8 modules using laddering, 5 Whys, and projective techniques. Produces a resumable session with disk-persisted state and a master brandbook (90_SYNTHESIS.md).
Also in 5 projects that use this
InfopibeSkilleverything-claude-code
Also in 11 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 10 projects that use this
- +2 more from berntpopp
In this repository28 other files it gives its agents.
- agent-architecture-designSkill
- agent-evaluationSkill
- agent-harness-engineeringSkill
- agentic-workflow-testingSkill
- agent-memory-designSkill
- browser-computer-useSkill
- durable-agent-workflowsSkill
- human-in-the-loopSkill
- mcp-developmentSkill
- mcp-server-developmentSkill
- multi-agent-orchestrationSkill
- tool-calling-designSkill
- advanced-retrieval-rerankingSkill
- context-engineeringSkill
- embedding-model-engineeringSkill
- llm-evaluationSkill
- llm-observabilitySkill
- model-serving-inferenceSkill
- multimodal-ai-pipelinesSkill
- prompt-engineeringSkill
- rag-engineeringSkill
- rag-pipeline-engineeringSkill
- structured-outputsSkill
- agentic-securitySkill
- code-reviewSkill
- debuggingSkill
- test-engineeringSkill
- example-skillSkill
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.

