review-security
Skill2 starsChanged 5 months agoMITView on GitHub
安全代码审查。用安全审查子代理找漏洞。
We split this skill into the rules it gives an agent
2 rules. 0 are common, 1 is distinctive, and 1 is very specific to this project.
0
Common
Most of the 16 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 13
If the host exposes the dedicated security-review reviewer, use its current tool schema and dedicated invocation reference.
- Distinctive: line 21
Use branch changes by default.
“Common” is measured: kept by at least 6 in 10 of the 16 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
Review Security
Review the requested code changes for exploitable security issues, affected trust boundaries, data flows, authorization, and attacker-controlled inputs. Establish the repository, target revision, and comparison base from the request and live Git state.
Reviewer selection
If the host exposes the dedicated security-review reviewer, use its current tool schema and dedicated invocation reference. Do not pass Task-specific arguments to a different tool interface.
If that reviewer is unavailable, a normal review can use the current collaboration tools or direct inspection. Say that the dedicated service is unavailable and identify the fallback accurately; never label a general review as a Bugbot or dedicated Security Review result. If the user requires that specific service, complete useful target preparation and report the missing capability without claiming the requested service ran.
Target and review scope
For a named PR or branch, verify its exact head and base. Use an isolated worktree or read the target diff directly when switching branches would disturb user work. Do not stash, reset, or discard local changes merely to enable a read-only review.
Use branch changes by default; use uncommitted changes when requested. Preserve staged and unstaged scope accurately. An empty diff is a result to report, not a reason to invent findings.
For each finding, provide the failure scenario or exploit prerequisites, consequence, evidence, severity, and a tight file/line reference. Separate confirmed findings from unresolved questions. Use only the checks needed to assess the change; do not claim execution that did not happen.
Report findings in a concise form appropriate to their number, highest severity first. Review alone does not authorize code fixes or posting an external review. If the user also requested fixes, continue with the authorized fixes and appropriate validation.
Other versions18 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 18
- pydantic/monty★ 8.8ksame name
- OpenAEV-Platform/openaev★ 1.8ksame name
- gtrabanco/agentic-workflow★ 22same name
- Phelan164/codex-howto★ 15same name
- borkweb/skills★ 8same name
- kauffj/agent-config★ 8same name
- mgiovani/cc-arsenal★ 8same name
- nesnilnehc/ai-cortex★ 8same name
- paultyng/skill-issue★ 8same name
- luminik-io/alfred★ 4same name
8 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 review-perf.
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.
nielsmadanSkillreview-perf
Performance analysis for algorithmic complexity, memory leaks, N+1 queries, and render issues. Use when code feels slow, after adding loops/queries, or before scaling up.
Also in 3 projects that use this
In this repository57 other files it gives its agents.
- codex-skills-pack/AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- automateSkill
- autopilotSkill
- create-hookSkill
- create-subagentSkill
- goalSkill
- loopSkill
- onboardSkill
- subscribeSkill
- review-agentSkill
- review-bugbotSkill
- reviewSkill
- split-to-prsSkill
- canvasSkill
- migrate-to-buildsSkill
- migrate-to-skillsSkill
- new-repoSkill
- originSkill
- rename-chatSkill
- sdkSkill
- shareSkill
- shellSkill
- statuslineSkill
- update-cli-configSkill
- update-cursor-settingsSkill
- computer-useSkill
- documentsSkill
- excel-live-controlSkill
- google-docsSkill
- google-drive-commentsSkill
- google-driveSkill
- google-sheetsSkill
- google-slidesSkill
- pdfSkill
- PresentationsSkill
- sites-buildingSkill
- sites-hostingSkill
- sites-preview-troubleshootingSkill
- SpreadsheetsSkill
- template-creatorSkill
- create-ruleSkill
- create-skillSkill
- imagegenSkill
- openai-docsSkill
- plugin-creatorSkill
- plugin-managementSkill
- skill-creatorSkill
- skill-installerSkill
- humanizer-zh-academicSkill
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Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
Reviews can't be read right now.
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.
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