codebase-audit
Skill1 starsChanged 23 days agoMITView on GitHub
Runs a ranked, evidence-backed audit of a product, codebase, or subsystem, ending in a verify list that separates proven findings from inferred ones. Use when the user asks for an audit, a gap analysis, a deep read, a bug hunt, a readiness check, a re-audit, a state reconciliation, or asks what they are not seeing. Trigger phrases include "audit", "gap analysis", "what am I missing", "deep audit", "readiness", "bug hunt", "review the whole thing". Produces findings and a verify list; does not fix.
28 other projects use a version of this.
Adopted by
Most recently taken up by
- lothlorienblade/agent-skillstheir own version, first seen Nov 8, 2026
- TidalPaladin/skillstheir own version, first seen Nov 8, 2026
- kekzl/imptheir own version, first seen Nov 7, 2026
- velonx/agent-skillstheir own version, first seen Nov 1, 2026
- TencentCloudBase/CloudBase-AI-Toolkittheir own version, first seen Oct 30, 2026
- frostney/pascal-mcp-sdktheir own version, first seen Oct 21, 2026
Used with
Projects with it also use cloud-api-recipe-authoring, codebuddy-ide-mcp-upgrade 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.
TencentCloudBaseSkillcloud-api-recipe-authoring
Author or revise a cloud-api-operations recipe (config/source/skills/cloud-api-operations/references/recipes/). Encodes why the long tail of control-plane capabilities is deliberately NOT wrapped as MCP/CLI tools, the API-first admission test for whether a capability deserves a recipe, the negative and positive lists, the fixed recipe structure, the writing rules distilled from writing-for-agents, the user-facing copy red lines, and the product regeneration/verification pipeline. Also routes contributors (and their agents) to the contribution flow and the pre-PR self-test protocol in references/contributing.md. Use when adding a recipe, judging whether a scenario belongs in the recipe set, updating the recipes index, re-checking existing recipes against the admission test, or onboarding someone who wants to submit one.
Also in 3 projects that use this
TencentCloudBaseSkillcodebuddy-ide-mcp-upgrade
升级 CodeBuddy IDE(genie 扩展)内置的 CloudBase MCP,以及 MCP 发版时同步 IDE 侧白名单。当用户提到「更新 IDE 里的 MCP」「内置 MCP 版本太老」「IDE 集成的 CloudBase 功能不足」「改工具白名单 toolWhiteList」「把新 bundle 打进 CodeBuddy」「白名单漂移」「MCP 发版要同步什么」时使用。覆盖:解包定位内置 bundle 与内嵌配置、重新构建 mcp bundle、生成新的工具白名单与系统提示词、安全注入 IDE 并备份、用 MCP 协议验证工具清单、人工端到端验收、一键回滚。
Also in 3 projects that use this
frostneySkillnative-nostalgia-stack
Applies the user's FreePascal toolchain and its build, formatting, hook, and test contracts while leaving project-specific mechanics local. Use when scaffolding or working in a FreePascal project that follows this toolchain.
Also in 3 projects that use this
frostneySkillsoftware-engineering-excellence
Applies the user's engineering standards during substantial technical work: preserve scope, use current evidence, delegate independent parts, and complete authorized outcomes. Use during substantial implementation, debugging, refactoring, or multi-part delivery work.
Also in 3 projects that use this
withpiperSkillroadmap-review
Audit roadmap health — issues, dependency order, spec coverage, doc freshness. Use when speccing a new initiative. Use when /phase-plan output looks suspicious. Use before /roadmap-create reruns.
Also in 3 projects that use this
zaxbysauceSkillpr-review-fix
Codex adapter for addressing pull request review feedback in opencode-swarm. Use when the user asks to fix PR review comments, requested changes, reviewer findings, CI-review notes, or a pasted review summary with low false-positive tolerance.
Also in 3 projects that use this
- +6 more from TencentCloudBase
Other versions28 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 28
- TencentCloudBase/CloudBase-AI-ToolKit★ 1.2ksame name
- TencentCloudBase/CloudBase-MCP★ 1.2ksame name
- TencentCloudBase/CloudBase-AI-Toolkit★ 1.2ksame name
- kekzl/imp★ 77same name
- mhylle/claude-skills-collection★ 20same name
- myatminlu/vector-skills★ 18same name
- sohei56/maul-team★ 17same name
- GoldenWing-360/claude-security-skills★ 16same name
- rommelporras/kiro-config★ 13same name
- frostney/pascal-mcp-sdk★ 2same name
18 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 repository27 other files it gives its agents.
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The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 4 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 28 edited versions we read keep these.
4
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 15
When the documents and the code disagree, that disagreement is itself a finding — often the most valuable one in the audit.
- Distinctive: line 47
Every audit ends with the discrepancies it could not resolve.
- Distinctive: line 53
This is the section the next session actually uses: Write it even when it is short.
- Distinctive: line 69
Write the audit where the project keeps them.
“Common” is measured: kept by at least 6 in 10 of the 28 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
Codebase audit
An audit's value is the ranking and the evidence, not the length. A finding without a file path, query result, PR number, or row count is a hypothesis — label it as one.
Ground the audit in code and production, not in documents
Project notes, plans, and status docs are checkpoints, not authority. Start from them to learn what was claimed, then verify against reality: the live commit, database state, PR checks, branch heads.
When the documents and the code disagree, that disagreement is itself a finding — often the most valuable one in the audit.
A claim about production requires a query against production. Pair this with a verification gate skill for the mechanics.
Structure
# <Scope> Audit (YYYY-MM-DD)
## TL;DR
<The three things that matter, and what you'd do first.>
## Part 1 — What you're not seeing (blind spots, ranked)
## Part 2 — Capabilities missing (ranked, each with a rough effort estimate)
## Part 3 — Existing capabilities that need improvement (ranked)
## Part 4 — Architecture changes (ranked, plain English)
## Part 5 — If I ran the next 30 days
## Verify list (discrepancies found during the audit)Rank everything. An unranked list of 40 findings is an unactioned list of 40 findings.
Check for dormant scaffolds before estimating
Attach a rough effort estimate to each gap and say what makes it cheap or expensive.
The single most valuable audit finding is usually this one: most of the high-value "gaps" are days of work, not weeks, because the scaffolds already exist in the repo with no callers. A feature that is already 80% built is a completely different decision from one that is not.
Grep for the thing before declaring it missing. A function with zero callers is the canonical case — the code is there, nothing invokes it, and every status document describes the feature as absent.
The verify list
Every audit ends with the discrepancies it could not resolve. Each entry names:
- what was claimed
- what was observed
- what query or check would settle it
This is the section the next session actually uses. Write it even when it is short.
The explicitly-not-worth-doing section
Name what you examined and deliberately rejected, with the reason.
Audits that only add to the backlog make the backlog useless. A finding you looked at and dismissed is worth more than one you never mention, because it stops the next audit from re-raising it.
Held items are not gaps
Anything already marked as deliberately deferred, or held for an explicit human decision, is held on purpose. Do not list it as a gap.
Re-surfacing a deliberate hold as a finding is how held decisions get executed by accident.
Output
Write the audit where the project keeps them. If it supersedes a prior audit, say which one and what changed — a folder of audits should stay readable as a sequence, not as a pile.
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.
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