Agent skill

Ss AI Audit

by Serial-Studio in Serial-Studio/Serial-Studio

Audit Serial Studio's AI-facing material (CLAUDE.md, doc/claude/, .claude/skills/, and optionally the in-app assistant corpus under app/rcc/) against code ground truth.

Custom licenceAuto-check passedAgent Workflows

Install Ss AI Audit

skills CLI
$ npx skills add Serial-Studio/Serial-Studio --skill ss-ai-audit -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Serial-Studio/Serial-Studio ss-ai-audit --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Serial-Studio/Serial-Studio.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/ss-ai-audit .claude/skills/ss-ai-audit && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
ss-ai-audit
GitHub stars
7.2k
Token cost
~1.2k tokens
SKILL.md length
588 words
Files
1
Skills in repo
15
Repo updated
First seen
Licence
Custom licence

At a glance

Audit Serial Studio's AI-facing material (CLAUDE.md, doc/claude/, .claude/skills/, and optionally the in-app assistant corpus under app/rcc/) against code ground truth.

  • Works in 6 steps: Run the mechanical pass first. python3… → Enumerate the claim-bearing files in… → Extract the verifiable claims. A claim… → …
  • Asked to audit the skills/docs
  • SKILL.md covers Procedure, Known drift magnets (check… and Rules
  • Calls python3

What it does

Ss AI Audit is an agent skill from Serial-Studio/Serial-Studio. Audit Serial Studio's AI-facing material (CLAUDE.md, doc/claude/, .claude/skills/, and optionally the in-app assistant corpus under app/rcc/) against code ground truth. Use when asked to "audit the skills/docs", "check the docs for drift", "verify CLAUDE.md is still true", or after a refactor that moved/renamed things (TU splits, workflow consolidation, symbol renames). Finds stale claims and fixes them with targeted edits; docs-only, never touches code.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering Agent instruction files. The repository describes itself as: Open-source telemetry dashboard. Supports UART, BLE, MQTT, Modbus, CAN Bus and more.

When your agent uses it

  • Asked to audit the skills/docs
  • Check the docs for drift
  • Verify CLAUDE.md is still true
  • After a refactor that moved/renamed things (TU splits

Example prompts

  • “audit the skills/docs”
  • “check the docs for drift”
  • “verify CLAUDE.md is still true”
  • “/ss-ai-audit”

Requirements

  • Python 3

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Run the mechanical pass first. python3 scripts/claim-verify.py resolves every
  2. Enumerate the claim-bearing files in scope: CLAUDE.md, doc/claude/** (including
  3. Extract the verifiable claims. A claim is anything checkable against the repo: a file
  4. Verify each claim against ground truth with Grep/Read — the code is the truth, the
  5. Fix with targeted edits — and fix every mirror. Wrong facts propagate: the same claim
  6. Report what was verified clean vs corrected, with the evidence. Do not silently fix.

What it can do on your machine

Read from SKILL.md and the folder at commit 3657d2c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Ss AI Audit loads about 1.2k tokens when it runs. Until then it costs about 119 tokens; SKILL.md has 588 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~119
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 588 words (~1,244 tokens).

“AI-facing docs steer future edits only while they are true; a stale claim is worse than no claim because it gets verbalized with confidence at the point of action. Code evolves, docs don't — this skill is the periodic re-sync…”

— opening of SKILL.md by Serial-Studio, Custom licence
name
ss-ai-audit
argument-hint
[scope: skills | docs | all | <path>]

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .claude/skills/ss-ai-audit of Serial-Studio/Serial-Studio.

Open the folder on GitHubat commit 3657d2c

Compare with similar skills

Ss AI Audit next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Ss AI Audit compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ss AI Audit this skillSerial-Studio/Serial-Studio7.2k—~1.2kAutomated safety check: PassCustom licence
Neat-Freak Knowledge CloseoutKKKKhazix/khazix-skills21k—~1.9kAutomated safety check: PassMIT
Dsh Web Documentationzhu1090093659/dsh-web8.5k—~479Automated safety check: PassApache-2.0
Harness Engineering GuideOdradekAI/harness-engineering-guide1251 repos~4.3kAutomated safety check: PassApache-2.0
Agent Setup Health Audittw93/Waza7.2k—~5.2kAutomated safety check: NotesMIT
Agnixagent-sh/agnix446—~874Automated safety check: PassApache-2.0

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  • Ss Docs

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Questions about Ss AI Audit

What does Ss AI Audit do?

Audit Serial Studio's AI-facing material (CLAUDE.md, doc/claude/, .claude/skills/, and optionally the in-app assistant corpus under app/rcc/) against code ground truth. Ss AI Audit is an agent skill from Serial-Studio/Serial-Studio.claude/skills/, and optionally the in-app assistant corpus under app/rcc/) against code ground truth.

When should I use Ss AI Audit?

Ss AI Audit fits situations like: asked to audit the skills/docs; check the docs for drift; verify CLAUDE.md is still true; after a refactor that moved/renamed things (TU splits.

How do I install Ss AI Audit in Claude Code?

Run `npx skills add Serial-Studio/Serial-Studio --skill ss-ai-audit -a claude-code`. Or copy the skill folder (.claude/skills/ss-ai-audit in Serial-Studio/Serial-Studio) into .claude/skills/ss-ai-audit in your project. Claude Code loads it when a task matches its description.

How do I install Ss AI Audit in Codex?

Run `npx skills add Serial-Studio/Serial-Studio --skill ss-ai-audit -a codex`. Or copy the skill folder (.claude/skills/ss-ai-audit in Serial-Studio/Serial-Studio) into .agents/skills/ss-ai-audit in your project. Codex loads it when a task matches its description.

Can I use Ss AI Audit in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Serial-Studio/Serial-Studio --skill ss-ai-audit -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ss-ai-audit, .gemini/skills/ss-ai-audit, .github/skills/ss-ai-audit and .opencode/skills/ss-ai-audit in your project.

What does Ss AI Audit need to run?

Going by SKILL.md and its folder, Ss AI Audit needs the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Ss AI Audit access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Ss AI Audit safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Ss AI Audit use?

Ss AI Audit has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Ss AI Audit use?

About 1.2k tokens (SKILL.md is roughly 5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Ss AI Audit?

Skills that share tags, products or a category with Ss AI Audit: Neat-Freak Knowledge Closeout (KKKKhazix/khazix-skills, 21k stars), Dsh Web Documentation (zhu1090093659/dsh-web, 8.5k stars), Harness Engineering Guide (OdradekAI/harness-engineering-guide, 125 stars) and Agent Setup Health Audit (tw93/Waza, 7.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ss AI Audit?

Serial-Studio (a GitHub organization) maintains it in Serial-Studio/Serial-Studio, which has 7,226 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on October 7, 2026.

Source: Serial-Studio/Serial-Studio on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.