evaluate

evaluate is a skill for Claude Code, Codex from TechHU-GS/cc-discipline. It costs 33 tokens per session (571 once invoked), scanned A, original, MIT.

A review method for checking outside advice against the codebase you already understand. It separates the problem a suggestion addresses from the specific solution it proposes.

In plain words
What is it for?
Use it to assess pasted reviews and label each recommendation as accept, accept with modification, or reject, with reasons based on the actual code.
Why use it?
It prevents reviewers' or AI tools' recommendations from being accepted when they rely on incorrect assumptions or conflict with existing project constraints.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/techhu-gs/cc-discipline/evaluate
Any agent
npx skills add TechHU-GS/cc-discipline --skill evaluate
Clone the repo
git clone --depth 1 https://github.com/TechHU-GS/cc-discipline

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 evaluate

README.md
[![agentmods](https://agentmods.dev/badge/skills/techhu-gs/cc-discipline/evaluate.svg)](https://agentmods.dev/skills/techhu-gs/cc-discipline/evaluate)
Your own site
<a href="https://agentmods.dev/skills/techhu-gs/cc-discipline/evaluate"><img src="https://agentmods.dev/badge/skills/techhu-gs/cc-discipline/evaluate.svg" alt="Measured on agentmods" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 571 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00033 $0.00571
Opus 5 $0.00016 $0.00285
Sonnet 5 $0.00007 $0.00114
Haiku 4.5 $0.00003 $0.00057

Measured 3d ago against content hash 1f453d38ca12, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

evaluate 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 3d 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/evaluate/SKILL.md · 58 lines

How it starts

The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You have deep context from investigating this codebase. The user is about to paste external advice from someone who may NOT have that context. Your job is to be an honest bridge — not a yes-man, not a contrarian.

Instructions

For each suggestion or recommendation in the external input:

1. Understand the intent

What problem is this suggestion trying to solve? Separate the goal (often valid) from the specific approach (may not fit).

2. Check against reality

Use your actual codebase knowledge to verify:

  • Does the thing they're describing actually exist / work the way they assume?
  • Are there constraints they likely don't know about?
  • Have we already tried or considered this?
  • Does it conflict with decisions already made (and documented)?

3. Verdict per item

For each suggestion, give one of:

  • Accept — Suggestion is sound and fits the codebase reality. State what action to take.
  • Accept with modification — The goal is right but the approach needs adjustment. Explain what to change and why.
  • Reject — Doesn't apply, is based on wrong assumptions, or conflicts with known constraints. Explain specifically why, citing what you know about the codebase.
  • Needs investigation — You don't have enough context to judge. State what you'd need to check.

4. Output format

## Evaluation of [source description]

### [suggestion 1 summary]
Verdict: accept / accept with modification / reject / needs investigation
Reasoning: [cite specific codebase facts, not general opinions]
Action: [what to do, if accepted]

### [suggestion 2 summary]
...

## Summary
Accepted: N  |  Modified: N  |  Rejected: N  |  Needs investigation: N

Rules

  • Be specific — "This doesn't apply" is not enough. Say WHY, citing files/code/decisions you know about.
  • Separate intent from approach — A reviewer can be right about the problem and wrong about the solution.
  • Don't reject based on effort — "That's a lot of work" is not a valid reason to reject. Only reject on technical grounds.
  • Don't accept out of deference — External reviewer ≠ automatically correct. Your codebase context is the advantage here.
  • Flag your own uncertainty — If you're not sure about something, say "needs investigation", don't guess.
  • Preserve the user's judgment — You evaluate, the user decides. Present evidence, not directives.

Read the full file on GitHub · 58 lines

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. 3d ago First seen · 58 lines · 33 tokens per session scan A 1f453d38ca12

Subscribe to this mod's changes

evaluate is a skill published in the GitHub repository TechHU-GS/cc-discipline (0 stars, last pushed 2d ago), licensed MIT. It adds 33 tokens to every session and 571 once invoked, about $0.0002 per session on Opus 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.

Related

Other skills, from other repositories

rspec

This skill should be used when the user asks to "write specs", "create spec", "add RSpec tests", "fix failing spec", or mentions RSpec, describe blocks, it blocks, expect syntax, test doubles, or matchers. Should also be used when editing spec.rb files, working in spec/ directory, planning implementation phases that…

hoblin/claude-ruby-marketplace · 125 tokens

activerecord

This skill should be used when the user asks to "write a migration", "add a column", "add column to table", "create an index", "add a foreign key", "set up associations", "fix N+1 queries", "optimize queries", "add validations", "create callbacks", "use eager loading", or mentions ActiveRecord, belongsto, hasmany…

hoblin/claude-ruby-marketplace · 180 tokens

dragonruby

This skill should be used when the user asks to "create a game", "make a game", "game development", "dragonruby", "drgtk", "game loop", "tick method", "sprite rendering", "game state", or mentions args.outputs, args.state, args.inputs, coordinate system, collision detection, animation frames, or scene management.…

hoblin/claude-ruby-marketplace · 100 tokens

draper-decorators

This skill should be used when the user asks to "create a decorator", "write a decorator", "move logic into decorator", "clean logic out of the view", "isn't it decorator logic", "test a decorator", or mentions Draper, keeping views clean, or representation logic in decorators. Should also be used when editing…

hoblin/claude-ruby-marketplace · 131 tokens

mcp-server

This skill should be used when the user asks to "create an MCP server", "build MCP tools", "define MCP prompts", "register MCP resources", "implement Model Context Protocol", or mentions the mcp gem, MCP::Server, MCP::Tool, JSON-RPC transport, stdio transport, or streamable HTTP transport. Should also be used when…

hoblin/claude-ruby-marketplace · 98 tokens

ratatui-ruby

This skill should be used when the user asks to "create a TUI", "terminal interface", "terminal UI", "ratatui", "ratatui-ruby", "inline viewport", "full-screen terminal app", "terminal widgets", "tui.draw", "tui.pollevent", or mentions RatatuiRuby.run, managed loop, terminal rendering, Tea MVU, or building CLI…

hoblin/claude-ruby-marketplace · 119 tokens