evaluate

evaluate is a skill for Claude Code from golemfoundation/octant-council-builder. It costs 10 tokens per session (2,250 once invoked), scanned A, original, MIT.

A coordinator for evaluating a public-goods project with several groups of research and review agents. It gathers data, examines the project from different viewpoints, and combines the results into a final report.

In plain words
What is it for?
Use it to assemble the available data, evaluation, and synthesis agents; create an output folder; ask for approval; run the evaluation; and produce a combined report for a named project or URL.
Why use it?
It divides a broad evaluation into separate research waves and discovers the available agents from the project files. This gives the evaluation a repeatable structure.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: model in frontmatter; names the AskUserQuestion tool.

Part of the council plugin — 11 skills, 10 agents shipped together

Good fit Use it to assemble the available data, evaluation, and synthesis agents; create an output folder; ask for approval; run the evaluation; and produce a combined report for a named project or URL.

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

Made for: Claude Code.

Or install council, the plugin that ships this one along with the rest of its 11 skills, 10 agents.

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/golemfoundation/octant-council-builder/evaluate/github.svg)](https://agentmods.dev/skills/golemfoundation/octant-council-builder/evaluate)
Your own site
<a href="https://agentmods.dev/skills/golemfoundation/octant-council-builder/evaluate"><img src="https://agentmods.dev/badge/skills/golemfoundation/octant-council-builder/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/golemfoundation/octant-council-builder/evaluate"><img src="https://agentmods.dev/badge/skills/golemfoundation/octant-council-builder/evaluate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 10 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,250 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 $0.00010 $0.02250
Opus 5 $0.00005 $0.01125
Sonnet 5 $0.00002 $0.00450
Haiku 4.5 $0.00001 $0.00225

Measured 10d ago against content hash 054a904c1eda, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, 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 10d 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/evaluate/SKILL.md · 276 lines

How it starts

The opening of the file, as written. The whole thing — 276 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Public Goods Evaluation Council

Orchestrate a multi-agent council to evaluate a public goods project. Three waves of agents gather data, evaluate from different lenses, and synthesize a final report.

Input

$ARGUMENTS is the project name or URL to evaluate.

If not provided, AskUserQuestion: "What project should the council evaluate?" with options for well-known projects or free text.

Store as $PROJECT. Derive $SLUG by lowercasing, replacing spaces/special chars with hyphens, truncating to 40 chars.

Step 1: Parse Input + Discover Agents

Discover the council roster dynamically from the filesystem:

Glob agents/data-*.md → $DATA_AGENTS
Glob agents/eval-*.md → $EVAL_AGENTS
Glob agents/synth-*.md → $SYNTH_AGENTS

For each agent file, read the frontmatter name and description fields.

Create the output directory:

mkdir -p council-out/$SLUG/data council-out/$SLUG/eval

Present the roster to the user:

AskUserQuestion:
  question: "Council assembled. Proceed with evaluation?"
  header: "Council"
  options:
    - label: "Run evaluation"
      description: "Start the 3-wave evaluation"
      preview: |
        Project: $PROJECT

        Wave 1 — Data Gathering ($N agents):
        ├─ [name]: [description]
        ├─ [name]: [description]
        └─ ...

        Wave 2 — Evaluation ($M agents):
        ├─ [name]: [description]
        └─ ...

        Wave 3 — Synthesis ($K agents):
        └─ [name]: [description]

        Output: council-out/$SLUG/REPORT.md
    - label: "Modify roster"
      description: "Add or remove agents before running"

If "Modify roster" → invoke the add-agent skill via the Skill tool, then re-discover.

Step 2: Create Team + All Tasks

TeamCreate(team_name="council-$SLUG", description="Public goods evaluation council for $PROJECT")

Read the full file on GitHub · 276 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. 10d ago First seen · 276 lines · 10 tokens per session scan A 054a904c1eda

Subscribe to this mod's changes

evaluate is a skill published in the GitHub repository golemfoundation/octant-council-builder (3 stars, last pushed 5mo ago), licensed MIT. It adds 10 tokens to every session and 2,250 once invoked, about $0.0001 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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