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.
npx skills add d-o-hub/github-template-ai-agents --skill skill-evaluatorgit clone --depth 1 https://github.com/d-o-hub/github-template-ai-agentsWrote 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.
[](https://agentmods.dev/skills/d-o-hub/github-template-ai-agents/skill-evaluator)<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.
<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>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.
| Model | Per session | Once 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 |
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.
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.
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.mdexists; no nestedskill-name/skill-name/duplicateevals/evals.jsonexists, even ifevals/itself was never created- Root JSON object with matching non-empty
skill_nameandevalsarray - At least 3 cases; each is an object with unique integer
id, non-emptypromptandexpected_outputstrings, and a non-emptyassertionsstring array - Optional
filesis an array of non-empty paths to existing input files under the skill root; absolute paths, escapes, and missing fixtures fail - Optional
bucketusesexplicit,implicit,contextual, ornegative; a tagged set needs a real out-of-scope negative case
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.
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.
- 13d ago Changed · -36 lines · +7 tokens per session 2f60af85ae79
- 24d ago Changed · +5 lines · +80 tokens per session 1ec41f737010
- 25d ago Changed · +3 lines 3424b439c3e8
- 1mo ago First seen · 233 lines · 0 tokens per session scan A ee2f8bdaabdd
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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