skill-evaluator

skill-evaluator is a skill for Claude Code from hamzafarooq/claude-code-starter. It costs 39 tokens per session (515 once invoked), scanned A, original, MIT.

A skill evaluator that scores an AI skill's output against expected answers or a ground-truth table. It reports pass, partial, and failed cases and explains recurring problems in the skill's instructions.

In plain words
What is it for?
Use it to test a skill with several examples, compare actual results with expected results, calculate scores, and identify changes needed in its system prompt.
Why use it?
It provides a consistent way to check whether a skill behaves as intended instead of judging one response informally. This helps reveal missing details, wrong structure, or invented content before release.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter; mentions Claude Code.

Good fit Use it to test a skill with several examples, compare actual results with expected results, calculate scores, and identify changes needed in its system prompt.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hamzafarooq/claude-code-starter/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 hamzafarooq/claude-code-starter --skill skill-evaluator
Clone the repo
git clone --depth 1 https://github.com/hamzafarooq/claude-code-starter

Made for: Claude Code.

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/hamzafarooq/claude-code-starter/skill-evaluator/github.svg)](https://agentmods.dev/skills/hamzafarooq/claude-code-starter/skill-evaluator)
Your own site
<a href="https://agentmods.dev/skills/hamzafarooq/claude-code-starter/skill-evaluator"><img src="https://agentmods.dev/badge/skills/hamzafarooq/claude-code-starter/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/hamzafarooq/claude-code-starter/skill-evaluator"><img src="https://agentmods.dev/badge/skills/hamzafarooq/claude-code-starter/skill-evaluator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 515 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 $0.00039 $0.00515
Opus 5.5 $0.00016 $0.00206
Sonnet 5.5 $0.00008 $0.00103
Haiku 4.5 $0.00004 $0.00052

Measured 1mo ago against content hash b5ce3d51870d, 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 1mo 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.

.claude/skills/skill-evaluator/SKILL.md · 73 lines

What it actually says

You are an evaluator for Claude Code Skills.

Your job is to score a Skill's actual output against expected ground truth and identify what to fix in the system prompt.

When given a Skill to evaluate

Ask the user for:

  1. The Skill's system prompt (or the path to its SKILL.md)
  2. The ground truth table (or path to docs/eval-ground-truth.md)

If a ground truth file is provided, read it. If not, ask for at least 3 input/output pairs to work with.

Scoring rubric (per test case)

Score each output 0–2:

Score Meaning
2 Matches ground truth — correct structure, correct content
1 Partially correct — right structure, wrong or missing detail
0 Wrong, missing, or hallucinated

Output format

Return this exact format:


Skill Eval Report

Skill: [name] Test cases run: [N] Pass (score ≥ 2): [N] Partial (score = 1): [N] Fail (score = 0): [N] Confidence score: [X / 10]

Results by test case:

Test 1 — Score: [0/1/2] Input: [what was passed in] Expected: [ground truth] Actual: [what the skill produced] Reason: [one line — why this score]

[repeat for each test case]

Failure pattern: [If multiple failures share a root cause, name it here. e.g. "The skill always drops the Risks section when the PRD is under 500 words." If no pattern, write "No consistent failure pattern."]

Fix to make: [One specific change to the system prompt that would address the most failures. Quote the exact line to add or change.]


Confidence score interpretation

Score Recommendation
9–10 Ship it
7–8 Fix failures, rerun
5–6 Find root cause, rewrite prompt
< 5 Rethink task definition

Do not summarize. Return the report only.

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. 1mo ago First seen · 73 lines · 39 tokens per session scan A b5ce3d51870d

Subscribe to this mod's changes

skill-evaluator is a skill published in the GitHub repository hamzafarooq/claude-code-starter (145 stars, last pushed 7d ago), licensed MIT. It adds 39 tokens to every session and 515 once invoked, about $0.0002 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 2026-09-03.

Related

Other skills, from other repositories

research-engineer

An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.

davila7/claude-code-templates · 43 tokens

eval-dataset-design

A guide to creating reliable test sets for AI agents. Each evaluation task includes the request, the simulated user's behaviour, a reset starting state, and a success check that can be independently verified.

bojieli/ai-agent-book · 138 tokens

tika-eval-compare

Compare extracts from two Tika builds over a corpus to detect regressions in content, encoding, exceptions, and embedded-document handling. Use for "compare before/after extracts", "eval this change against the corpus".

apache/tika · 50 tokens

cua-driver

Use Cua Driver for desktop or browser tasks that are awkward or unavailable through Bash/APIs, or when the user explicitly wants GUI interaction: app testing, visual bug reproduction, form filling, calendar entry, screenshots, and demo recording. Also covers Cua setup; not OpenAI Codex Computer Use or web research.

davidondrej/skills · 68 tokens

jetson-validate-image

Use after jetson-flash-image to run static BSP checks, on-target smoke/regression tests on a flashed DUT, or both. Not for build or flash steps. Triggers: validate bsp, on-target validation.

NVIDIA/skills · 50 tokens

atmos-validation

Validate Atmos projects, components, arbitrary JSON Schema inputs, EditorConfig, and GitHub Actions; use affected-file selection and native CI annotations.

cloudposse/atmos · 31 tokens