evaluate

evaluate is a skill for Claude Code from qkitzero/kage-bunshin. It costs 50 tokens per session (780 once invoked), scanned A, original, MIT.

A structured process for judging whether an idea or proposal is practical. It uses research and analysis to examine the decision from several angles.

In plain words
What is it for?
Use it to assess product ideas, technical plans, or other proposals before deciding whether to proceed.
Why use it?
It turns a vague feasibility question into an evidence-based assessment with explicit considerations and a go/no-go decision.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: reads .claude/ paths.

Good fit Use it to assess product ideas, technical plans, or other proposals before deciding whether to proceed.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/qkitzero/kage-bunshin/evaluate
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 qkitzero/kage-bunshin --skill evaluate
Clone the repo
git clone --depth 1 https://github.com/qkitzero/kage-bunshin

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 evaluate

README.md
[![agentmods](https://agentmods.dev/badge/skills/qkitzero/kage-bunshin/evaluate/github.svg)](https://agentmods.dev/skills/qkitzero/kage-bunshin/evaluate)
Your own site
<a href="https://agentmods.dev/skills/qkitzero/kage-bunshin/evaluate"><img src="https://agentmods.dev/badge/skills/qkitzero/kage-bunshin/evaluate/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 evaluate

Your own site · 80×15
<a href="https://agentmods.dev/skills/qkitzero/kage-bunshin/evaluate"><img src="https://agentmods.dev/badge/skills/qkitzero/kage-bunshin/evaluate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 780 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 $0.00050 $0.00780
Opus 5 $0.00025 $0.00390
Sonnet 5 $0.00010 $0.00156
Haiku 4.5 $0.00005 $0.00078

Measured 9d ago against content hash 728bd7f76347, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, 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 9d 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 · 100 lines

How it starts

The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Evaluate Skill

A workflow that creates an Agent Team of Researcher and Analyst to perform multi-dimensional evaluation through iterative investigation and assessment.

Workflow

Step 1: Understand the Evaluation Target

Accurately understand the idea, proposal, or plan presented by the user. Clarify:

  • Overview of the evaluation target
  • Context (market, organization, technical environment, etc.)
  • Any priority evaluation axes if specified

Step 2: Retrieve Past Notebook Context

If NOTEBOOK_PATH is set, search for past entries related to the evaluation target:

  1. Grep $NOTEBOOK_PATH/reviews/ and $NOTEBOOK_PATH/research/ for keywords from the target
  2. Read up to 3 matching entries (frontmatter + first 200 characters of body)
  3. Include the retrieved content as context when creating the team

Skip this step if zero matches or NOTEBOOK_PATH is not set.

Step 3: Create Agent Team

Create a team with the following teammates using their agent definitions from .claude/agents/:

Teammates:

  • researcher — gathers background information and evidence
  • analyst — performs structured evaluation and scoring

Team instructions:

Evaluation target: [Description]
[Past Notebook context if found]

Collaboration protocol:
1. Researcher investigates: similar cases, market/tech landscape, competitors, risks, required resources
2. Analyst performs initial evaluation based on research (6 dimensions: Feasibility, Market Fit, Effort, Risk, Innovation, Impact)
3. Analyst identifies information gaps and requests additional research from Researcher
4. Researcher conducts targeted follow-up investigation
5. Analyst refines scores and produces final Go / Conditional Go / No-Go recommendation
6. Continue iterating until Analyst is confident in the assessment (aim for 2-3 rounds)

Rules:
- Output language: Use the language specified by OUTPUT_LANGUAGE env var. If not set, match the user's language (default: English)
- If NOTEBOOK_PATH is set: Researcher saves to $NOTEBOOK_PATH/research/, Analyst saves to $NOTEBOOK_PATH/reviews/
- Each agent writes its own deliverables with structured frontmatter

Read the full file on GitHub · 100 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. 9d ago First seen · 100 lines · 50 tokens per session scan A 728bd7f76347

Subscribe to this mod's changes

evaluate is a skill published in the GitHub repository qkitzero/kage-bunshin (1 stars, last pushed 4mo ago), licensed MIT. It adds 50 tokens to every session and 780 once invoked, about $0.0003 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.

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