Agent skill

Harness Audit Engine

by Habitat-Thinking in Habitat-Thinking/ai-literacy-superpowers

A skill your agent uses when running the shared drift-detection logic that backs /harness-audit and /harness-sync — produces a structured drift report covering convention files, ONBOARDING.md…

Custom licenceAuto-check passedDevOps & Cloud

Install Harness Audit Engine

skills CLI
$ npx skills add Habitat-Thinking/ai-literacy-superpowers --skill harness-audit-engine -a claude-code

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

GitHub CLI
$ gh skill install Habitat-Thinking/ai-literacy-superpowers harness-audit-engine --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/Habitat-Thinking/ai-literacy-superpowers.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ai-literacy-superpowers/skills/harness-audit-engine .claude/skills/harness-audit-engine && 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
harness-audit-engine
GitHub stars
114
Token cost
~1.2k tokens
SKILL.md length
558 words
Files
1
Skills in repo
42
Repo updated
First seen
Licence
Custom licence

At a glance

A skill your agent uses when running the shared drift-detection logic that backs /harness-audit and /harness-sync — produces a structured drift report covering convention files, ONBOARDING.md…

  • Works in 3 steps: There is a deterministic remediation (a… → The remediation writes to allow-listed… → No user judgement is required between…
  • Snapshot staleness
  • SKILL.md covers Overview, What the engine scans, Drift-report shape and State vocabulary, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Harness Audit Engine is an agent skill from Habitat-Thinking/ai-literacy-superpowers. Use when running the shared drift-detection logic that backs /harness-audit and /harness-sync — produces a structured drift report covering convention files, ONBOARDING.md, snapshot staleness, constraint regressions, recurring reflection patterns, and HARNESS.md Status section accuracy.

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 DevOps & Cloud, covering GitOps. The repository describes itself as: A set of Claude Code and GitHub Copilot plugins providing the AI Literacy framework's complete development workflow — harness engineering, agent orchestration, literate….

When your agent uses it

  • Snapshot staleness
  • Constraint regressions
  • Recurring reflection patterns
  • HARNESS.md Status section accuracy

Example prompts

  • “/harness-audit-engine”

Workflow steps

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

  1. There is a deterministic remediation (a specific command that, given the same HARNESS.md state, would always produce the same fix).
  2. The remediation writes to allow-listed paths (the four push-direction surfaces) OR mutates HARNESS.md only in defined ways (Status section…
  3. No user judgement is required between detection and remediation.

What it can do on your machine

Read from SKILL.md and the folder at commit 9d35995. 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

    No scripts in the folder and no shell commands in SKILL.md.

    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

Harness Audit Engine loads about 1.2k tokens when it runs. Until then it costs about 77 tokens; SKILL.md has 558 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~77
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 558 words (~1,183 tokens).

“The harness audit-engine is the shared drift-detection layer that both /harness-audit and /harness-sync invoke. Audit is read-only; sync uses the same engine to drive its multi-select prompt. This skill defines the contract — what surfaces are scanned, the drift-report shape…”

— opening of SKILL.md by Habitat-Thinking, Custom licence
name
harness-audit-engine

Read the full SKILL.md on GitHub

Files

Just SKILL.md in ai-literacy-superpowers/skills/harness-audit-engine of Habitat-Thinking/ai-literacy-superpowers.

Open the folder on GitHubat commit 9d35995

Compare with similar skills

Harness Audit Engine 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.

Harness Audit Engine compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Harness Audit Engine this skillHabitat-Thinking/ai-literacy-superpowers114—~1.2kAutomated safety check: PassCustom licence
Kubernetes SpecialistJeffallan/claude-skills12k1 repos~2.1kAutomated safety check: PassMIT
Kubernetes ArchitectCybereason-Public/owLSM2809 repos~2.6kAutomated safety check: PassGPL-2.0
Docs Corpus Auditmicrosoft/apm4k—~2.6kAutomated safety check: PassMIT
Devopsnicepkg/auto-company1942 repos~814Automated safety check: PassMIT
Gitops Repo Auditfluxcd/agent-skills231—~3.8kAutomated safety check: PassApache-2.0

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Categories

Questions about Harness Audit Engine

What does Harness Audit Engine do?

A skill your agent uses when running the shared drift-detection logic that backs /harness-audit and /harness-sync — produces a structured drift report covering convention files, ONBOARDING.md…. Harness Audit Engine is an agent skill from Habitat-Thinking/ai-literacy-superpowers.md Status section accuracy.

When should I use Harness Audit Engine?

Harness Audit Engine fits situations like: snapshot staleness; constraint regressions; recurring reflection patterns; HARNESS.md Status section accuracy.

How do I install Harness Audit Engine in Claude Code?

Run `npx skills add Habitat-Thinking/ai-literacy-superpowers --skill harness-audit-engine -a claude-code`. Or copy the skill folder (ai-literacy-superpowers/skills/harness-audit-engine in Habitat-Thinking/ai-literacy-superpowers) into .claude/skills/harness-audit-engine in your project. Claude Code loads it when a task matches its description.

How do I install Harness Audit Engine in Codex?

Run `npx skills add Habitat-Thinking/ai-literacy-superpowers --skill harness-audit-engine -a codex`. Or copy the skill folder (ai-literacy-superpowers/skills/harness-audit-engine in Habitat-Thinking/ai-literacy-superpowers) into .agents/skills/harness-audit-engine in your project. Codex loads it when a task matches its description.

Can I use Harness Audit Engine 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 Habitat-Thinking/ai-literacy-superpowers --skill harness-audit-engine -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/harness-audit-engine, .gemini/skills/harness-audit-engine, .github/skills/harness-audit-engine and .opencode/skills/harness-audit-engine in your project.

What does Harness Audit Engine need to run?

SKILL.md names no scripts, command-line tools or credentials: Harness Audit Engine is instructions for the agent only.

Does Harness Audit Engine 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 Harness Audit Engine 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 Harness Audit Engine use?

Harness Audit Engine 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 Harness Audit Engine use?

About 1.2k tokens (SKILL.md is roughly 4.7k 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 Harness Audit Engine?

Skills that share tags, products or a category with Harness Audit Engine: Kubernetes Specialist (Jeffallan/claude-skills, 12k stars), Kubernetes Architect (Cybereason-Public/owLSM, 280 stars), Docs Corpus Audit (microsoft/apm, 4k stars) and Devops (nicepkg/auto-company, 194 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Harness Audit Engine?

Habitat-Thinking (a GitHub organization) maintains it in Habitat-Thinking/ai-literacy-superpowers, which has 114 GitHub stars. The repository holds 42 skills in this directory. The repository was last updated on September 20, 2026.

Source: Habitat-Thinking/ai-literacy-superpowers on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.