Agent skill

Completeness Auditor

by zhnnky329 in zhnnky329/MathModeling-skills

Audit whether the semantic evidence required by the active lean or submission profile exists and is current, without requiring one verbose artifact per skill or an arbitrary number of pass bullets.

MITAuto-check passed

Install Completeness Auditor

skills CLI
$ npx skills add zhnnky329/MathModeling-skills --skill completeness-auditor -a claude-code

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

GitHub CLI
$ gh skill install zhnnky329/MathModeling-skills completeness-auditor --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/zhnnky329/MathModeling-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/completeness-auditor .claude/skills/completeness-auditor && 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
completeness-auditor
GitHub stars
1.1k
Token cost
~533 tokens
SKILL.md length
243 words
Files
1
Skills in repo
29
Repo updated
First seen
Licence
MIT

At a glance

Audit whether the semantic evidence required by the active lean or submission profile exists and is current, without requiring one verbose artifact per skill or an arbitrary number of pass bullets.

  • Works in 6 steps: Read rigor_profile. → Resolve active Qx from manifests or… → Check required artifacts and semantic… → …
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Completeness Auditor is an agent skill from zhnnky329/MathModeling-skills. Audit whether the semantic evidence required by the active lean or submission profile exists and is current, without requiring one verbose artifact per skill or an arbitrary number of pass bullets.

Its SKILL.md is about 530 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: 面向数学建模竞赛的 Claude Code / Codex Skills ,支持分阶段建模流程与 Python、MATLAB/北太天元代码分支。 The licence is MIT.

Example prompts

  • “/completeness-auditor”

Workflow steps

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

  1. Read rigor_profile.
  2. Resolve active Qx from manifests or artifacts.
  3. Check required artifacts and semantic fields.
  4. Check staleness only against materially cited evidence.
  5. Accept documented legacy equivalents during migration.
  6. Save paper/audits/completeness_audit.md only in submission/final mode.

What it can do on your machine

Read from SKILL.md and the folder at commit 0b46e9c. 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

Completeness Auditor loads about 533 tokens when it runs. Until then it costs about 55 tokens; SKILL.md has 243 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~55
When it runs · the whole SKILL.md, loaded when a task matches
~533

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

The full file from zhnnky329/MathModeling-skills at commit 0b46e9c, republished under its MIT licence (© zhnnky329). 243 words, ~533 tokens.

Download SKILL.mdSave it as .claude/skills/completeness-auditor/SKILL.md (or your agent's skills folder).
name
completeness-auditor
description
Audit whether the semantic evidence required by the active lean or submission profile exists and is current, without requiring one verbose artifact per skill or an arbitrary number of pass bullets.

Purpose

Check deliverable evidence, not whether every invoked skill left a ceremonial report.

Lean Checks

Per active Qx, require as applicable:

  • manifest;
  • method card;
  • human decision ledger;
  • risk-probe summary;
  • latest run summary.

Lean completeness does not require final reports, freeze, paper, or G6 artifacts.

Submission Checks

Per Qx require:

  • final method explanation;
  • current language review JSON with all required named checks passing;
  • final result analysis;
  • robustness report;
  • solution package;
  • current frozen numbers;
  • paper section and referenced figures.

Globally require symbol table, assumptions, references, consistency audit, completeness audit, and QA report.

Workflow

  1. Read rigor_profile.
  2. Resolve active Qx from manifests or artifacts.
  3. Check required artifacts and semantic fields.
  4. Check staleness only against materially cited evidence.
  5. Accept documented legacy equivalents during migration.
  6. Save paper/audits/completeness_audit.md only in submission/final mode.

Status

  • PRESENT: required evidence exists and is current.
  • MISSING: required evidence absent.
  • INSUFFICIENT: artifact exists but required semantic fields/checks are missing.
  • STALE: cited material evidence changed after approval/review.
  • NOT_APPLICABLE: justified by task/profile.

Rules

  • Do not require ≥5 prose pass items.
  • Do not require a report just because a skill ran.
  • Do not mark a decision stale for unrelated code, formatting, or file changes.
  • Do not treat legacy artifact count as proof of semantic completeness.
  • Do not repair artifacts during audit.

Verification

  • Requirements match the active profile.
  • Every gap names the missing evidence and producer/owner.
  • Staleness links to a material changed source.
  • Final verdict is PASSED only when all submission requirements are satisfied.

© zhnnky329, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .codex/skills/completeness-auditor of zhnnky329/MathModeling-skills.

Open the folder on GitHubat commit 0b46e9c

Compare with similar skills

Completeness Auditor 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.

Completeness Auditor compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Completeness Auditor this skillzhnnky329/MathModeling-skills1.1k—~533Automated safety check: PassMIT
Semantic Consistency Auditoraipoch/medical-research-skills1.9k—~3.1kAutomated safety check: PassMIT
Requirementsrizsotto/Bear6.5k—~2kAutomated safety check: PassGPL-3.0
Verification Before Completionfarm-fe/farm5.6k46 repos~1kAutomated safety check: PassMIT
Semantic Liststhedaviddias/Front-End-Checklist74k—~504Automated safety check: PassMIT
Semantic Versioningsickn33/agentic-awesome-skills47k1 repos~2.6kAutomated safety check: PassMIT

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Questions about Completeness Auditor

What does Completeness Auditor do?

Audit whether the semantic evidence required by the active lean or submission profile exists and is current, without requiring one verbose artifact per skill or an arbitrary number of pass bullets. Completeness Auditor is an agent skill from zhnnky329/MathModeling-skills. Audit whether the semantic evidence required by the active lean or submission profile exists and is current, without requiring one verbose artifact per skill or an arbitrary number of pass bullets.

How do I install Completeness Auditor in Claude Code?

Run `npx skills add zhnnky329/MathModeling-skills --skill completeness-auditor -a claude-code`. Or copy the skill folder (.codex/skills/completeness-auditor in zhnnky329/MathModeling-skills) into .claude/skills/completeness-auditor in your project. Claude Code loads it when a task matches its description.

How do I install Completeness Auditor in Codex?

Run `npx skills add zhnnky329/MathModeling-skills --skill completeness-auditor -a codex`. Or copy the skill folder (.codex/skills/completeness-auditor in zhnnky329/MathModeling-skills) into .agents/skills/completeness-auditor in your project. Codex loads it when a task matches its description.

Can I use Completeness Auditor 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 zhnnky329/MathModeling-skills --skill completeness-auditor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/completeness-auditor, .gemini/skills/completeness-auditor, .github/skills/completeness-auditor and .opencode/skills/completeness-auditor in your project.

What does Completeness Auditor need to run?

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

Does Completeness Auditor 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 Completeness Auditor 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 Completeness Auditor use?

Completeness Auditor is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Completeness Auditor use?

About 533 tokens (SKILL.md is roughly 2.1k 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 Completeness Auditor?

Skills that share tags, products or a category with Completeness Auditor: Semantic Consistency Auditor (aipoch/medical-research-skills, 1.9k stars), Requirements (rizsotto/Bear, 6.5k stars), Verification Before Completion (farm-fe/farm, 5.6k stars) and Semantic Lists (thedaviddias/Front-End-Checklist, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Completeness Auditor?

zhnnky329 (a GitHub user) maintains it in zhnnky329/MathModeling-skills, which has 1,060 GitHub stars. The repository holds 29 skills in this directory. The repository was last updated on September 24, 2026.

Source: zhnnky329/MathModeling-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.