agent-architecture-audit
Skill1 starsChanged 4 months agoNo licenceView on GitHub
Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature.
We split this skill into the rules it gives an agent
11 rules. 10 are common, 0 are distinctive, and 1 is very specific to this project.
10
Common
Most of the 10 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
“Common” is measured: kept by at least 6 in 10 of the 10 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.
Other versions13 projects use a version of this.
Word for word · 1
- renepf/claude-skills★ 0100% same
Edited · 8
- Fmarzochi/EGC★ 6199% same
- gongyijie85/dsh-ecc★ 898% same
- ronmkr/PromptBook★ 2100% same
- NISTALTALSON/essential-claude-skills★ 198% same
- Ronnasayd/aipp★ 198% same
- SamuelNDCE/claude-super-skill-library★ 1100% same
- davidanthonyn/claude-skills★ 0100% same
- SirCharan/claude-code-harness★ 020% same
Wrote their own version · 4
- genfeedai/genfeed.ai★ 4same name
- agenticluke/agent-xray-plus★ 0same name
- kuker24/OpenCodeBestFriend★ 0same name
- thanvish21/hcc-bundle★ 0same name
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 cost-aware-llm-pipeline.
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.
royaluniondesign-sysSkillcost-aware-llm-pipeline
Cost optimization patterns for LLM API usage — model routing by task complexity, budget tracking, retry logic, and prompt caching.
Also in 3 projects that use this
In this repository38 other files it gives its agents.
- claude-apiSkill
- codeqlSkill
- c-reviewSkill
- defi-amm-securitySkill
- django-securitySkill
- docxSkill
- ffuf-web-fuzzingSkill
- frontend-designSkill
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- llm-trading-agent-securitySkill
- mcp-builderSkill
- modern-pythonSkill
- pdfSkill
- perl-securitySkill
- pptxSkill
- production-auditSkill
- quarkus-securitySkill
- repo-scanSkill
- safety-guardSkill
- second-opinionSkill
- security-audit-referenceSkill
- security-bounty-hunterSkill
- security-reviewSkill
- security-scanSkill
- semgrepSkill
- skill-creatorSkill
- springboot-securitySkill
- supply-chain-risk-auditorSkill
- variant-analysisSkill
- webapp-testingSkill
- web-artifacts-builderSkill
- workspace-surface-auditSkill
- xlsxSkill
- yara-rule-authoringSkill
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.
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.

