skill-evaluator

skill-evaluator is a skill for Claude Code, Codex from d-o-hub/github-template-ai-agents. It costs 87 tokens per session (1,973 once invoked), scanned A, original, MIT.

A repeatable checking skill for evaluating other coding-agent skills. It examines their files and tests, runs realistic prompts, and compares results with a baseline, meaning an earlier or no-skill version.

In plain words
What is it for?
Use it to check a skill's structure, review or add evaluations, run usage tests, score results, or compare versions.
Why use it?
It helps reveal missing setup files, weak tests, broken instructions, and differences in real use. This makes skill quality easier to judge with evidence.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

Good fit Use it to check a skill's structure, review or add evaluations, run usage tests, score results, or compare versions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/d-o-hub/github-template-ai-agents/skill-evaluator
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add d-o-hub/github-template-ai-agents --skill skill-evaluator
Clone the repo
git clone --depth 1 https://github.com/d-o-hub/github-template-ai-agents

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for skill-evaluator

README.md
[![agentmods](https://agentmods.dev/badge/skills/d-o-hub/github-template-ai-agents/skill-evaluator/github.svg)](https://agentmods.dev/skills/d-o-hub/github-template-ai-agents/skill-evaluator)
Your own site
<a href="https://agentmods.dev/skills/d-o-hub/github-template-ai-agents/skill-evaluator"><img src="https://agentmods.dev/badge/skills/d-o-hub/github-template-ai-agents/skill-evaluator/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for skill-evaluator

Your own site · 80×15
<a href="https://agentmods.dev/skills/d-o-hub/github-template-ai-agents/skill-evaluator"><img src="https://agentmods.dev/badge/skills/d-o-hub/github-template-ai-agents/skill-evaluator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 87 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,973 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00087 $0.01973
Opus 5.5 $0.00035 $0.00789
Sonnet 5.5 $0.00017 $0.00395
Haiku 4.5 $0.00009 $0.00197

Measured 13d ago against content hash 2f60af85ae79, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

skill-evaluator scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/check_structure.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.agents/skills/skill-evaluator/SKILL.md · 205 lines

How it starts

The opening of the file, as written. The whole thing — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill Evaluator

Evaluate local skills with evidence and an explicit scope. Choose static audit or manual paired behavioral evaluation; never confuse their verdicts.

When to Use

  • Check whether a skill is wired correctly and has usable eval definitions
  • Review assertion quality and coverage without executing user prompts
  • Grade actual outputs or compare a skill against a no-skill/older baseline
  • Identify missing fixtures, weak evals, and unclear routing boundaries

Required Inputs

SKILL_PATH: absolute or workspace-relative path to the skill directory
MODE: static (default) / manual-paired
GOAL: structure / coverage review / behavioral comparison

If the user requests behavioral evaluation but execution is unavailable, report behavioral: NOT_RUN or BLOCKED, not a static result relabeled as behavior.

Mode 1: Static Audit

This mode reads definitions only. It invokes no model, executes no eval prompt, and scores no assertion against an answer. No secrets or authentication are needed for static evaluation, including evals describing authenticated tools.

1. Structure and Schema

python3 .agents/skills/skill-evaluator/scripts/check_structure.py --path "$SKILL_PATH"

The standalone checker accepts one skill directory or an inventory directory. It ignores support folders without SKILL.md, _-prefixed directories, and *-workspace directories. An empty inventory fails rather than passing vacuously.

Template-local requirements (not Agent Skills specification requirements):

  • SKILL.md exists; no nested skill-name/skill-name/ duplicate
  • evals/evals.json exists, even if evals/ itself was never created
  • Root JSON object with matching non-empty skill_name and evals array
  • At least 3 cases; each is an object with unique integer id, non-empty prompt and expected_output strings, and a non-empty assertions string array
  • Optional files is an array of non-empty paths to existing input files under the skill root; absolute paths, escapes, and missing fixtures fail
  • Optional bucket uses explicit, implicit, contextual, or negative; a tagged set needs a real out-of-scope negative case

Read the full file on GitHub · 205 lines

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 13d ago Changed · -36 lines · +7 tokens per session 2f60af85ae79
  2. 24d ago Changed · +5 lines · +80 tokens per session 1ec41f737010
  3. 25d ago Changed · +3 lines 3424b439c3e8
  4. 1mo ago First seen · 233 lines · 0 tokens per session scan A ee2f8bdaabdd

Subscribe to this mod's changes

skill-evaluator is a skill published in the GitHub repository d-o-hub/github-template-ai-agents (2 stars, last pushed yesterday), licensed MIT. It adds 87 tokens to every session and 1,973 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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