skillgrade-setup

skillgrade-setup is a skill for Claude Code, Codex from mgechev/skillgrade. It costs 58 tokens per session (1,227 once invoked), scanned A, original, MIT.

A guide for setting up and running evaluations for agent skills. An evaluation runs defined tasks against a skill and scores the results.

In plain words
What is it for?
It is used to install the evaluation tool, create an eval.yaml file, define tasks and workspaces, configure graders, and run trials.
Why use it?
It provides a consistent way to test whether a skill works across tasks instead of relying on one manual check.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Codex; mentions OpenCode.

Good fit It is used to install the evaluation tool, create an eval.yaml file, define tasks and workspaces, configure graders, and run trials.

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Install with agentmods
npx agentmods add skills/mgechev/skillgrade/skillgrade-setup
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 mgechev/skillgrade --skill skillgrade-setup
Clone the repo
git clone --depth 1 https://github.com/mgechev/skillgrade

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 skillgrade-setup

README.md
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Your own site
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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 skillgrade-setup

Your own site · 80×15
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Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,227 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00058 $0.01227
Opus 5.5 $0.00023 $0.00491
Sonnet 5.5 $0.00012 $0.00245
Haiku 4.5 $0.00006 $0.00123

Measured 7d ago against content hash 339272bf957c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

skillgrade-setup 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 7d 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.

skills/skillgrade-setup/SKILL.md · 73 lines

How it starts

The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skillgrade Evaluation Setup

Procedures

Step 1: Install Skillgrade

  1. Verify Node.js 20+ and Docker are available.
  2. Run npm i -g skillgrade to install the CLI globally.

Step 2: Initialize an Eval Configuration

  1. Navigate to any project directory.
  2. If the directory contains a SKILL.md and an API key is set, skillgrade init generates AI-powered tasks and graders tailored to the skill.
  3. Without a SKILL.md or API key, skillgrade init creates a ready-to-edit generic eval template.
  4. Pass --force to overwrite an existing eval.yaml.

Step 3: Configure eval.yaml

  1. Read references/eval-yaml-spec.md for the full configuration schema.
  2. Define tasks under the tasks: key. Each task requires:
    • name: unique task identifier
    • instruction: what the agent should accomplish (OR turns: for multi-turn evals)
    • graders: one or more scoring mechanisms (see the skillgrade-graders skill)
  3. Optionally add workspace: (files the agent edits) and context: (reference material not directly graded).
  4. Configure defaults: for agent, provider, trials, timeout, and threshold.
  5. For multi-turn evals, replace instruction with turns: — each turn has its own instruction and optional graders. The workspace persists across turns.
  6. For batch evals, add dataset: path/to/file.jsonl (or .csv) to a task. Each row expands into a separate task with {{key}} template variables interpolated in the instruction.

Step 4: Run Evaluations

  1. Select an appropriate preset based on the evaluation goal:
    • --smoke (5 trials): Quick capability check.
    • --reliable (15 trials): Reliable pass rate estimate.
    • --regression (30 trials): High-confidence regression detection.
  2. Run the evaluation: skillgrade --smoke.
  3. Run a specific eval by name: skillgrade --eval=fix-linting.
  4. Run multiple evals: skillgrade --eval=fix-linting,write-tests.
  5. Run only deterministic graders (skip LLM calls): skillgrade --grader=deterministic.
  6. Run only LLM rubric graders: skillgrade --grader=llm_rubric.
  7. Run only human review graders: skillgrade --grader=human.
  8. The agent is auto-detected from the API key. Override with --agent=gemini|claude|codex|acp|opencode|command.
  9. For ACP, pass --acp-command="gemini --acp" or set defaults.acp.command.
  10. For OpenCode, pass --opencode-agent=build|plan|explore or --opencode-model=provider/model.
  11. For a custom agent, pass --agent=command --command="node mycli.js" or set defaults.command. The instruction is piped to the command's stdin.
  12. Override the provider with --provider=docker|local (or any custom-registered provider).

Read the full file on GitHub · 73 lines

Files

What ships with it

2 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. 7d ago Changed · +12 lines · +6 tokens per session 339272bf957c
  2. 1mo ago First seen · 61 lines · 52 tokens per session scan A 03b5d27752ad

Subscribe to this mod's changes

skillgrade-setup is a skill published in the GitHub repository mgechev/skillgrade (726 stars, last pushed 7d ago), licensed MIT. It adds 58 tokens to every session and 1,227 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 2026-08-30.