eval-community

eval-community is an agent for Claude Code from golemfoundation/octant-council-builder. It costs 12 tokens per session (533 once invoked), scanned A, original, MIT.

An evaluation agent that assesses a project’s community health, user adoption, and governance. It reviews data collected by other agents and scores five areas, including contributors, communication, and ecosystem use.

In plain words
What is it for?
Use it in a public-goods evaluation council to read a directory of research files, score five community dimensions from 1 to 10, write `community.md`, and report the score and summary to the team lead.
Why use it?
It provides a consistent way to judge whether a project has an active community and responsible decision-making. It turns scattered community information into a composite score and written evaluation.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

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

Good fit Use it in a public-goods evaluation council to read a directory of research files, score five community dimensions from 1 to 10, write community.md, and report the score and summary to the team lead.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/golemfoundation/octant-council-builder/eval-community
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.

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 eval-community

README.md
[![agentmods](https://agentmods.dev/badge/agents/golemfoundation/octant-council-builder/eval-community/github.svg)](https://agentmods.dev/agents/golemfoundation/octant-council-builder/eval-community)
Your own site
<a href="https://agentmods.dev/agents/golemfoundation/octant-council-builder/eval-community"><img src="https://agentmods.dev/badge/agents/golemfoundation/octant-council-builder/eval-community/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 eval-community

Your own site · 80×15
<a href="https://agentmods.dev/agents/golemfoundation/octant-council-builder/eval-community"><img src="https://agentmods.dev/badge/agents/golemfoundation/octant-council-builder/eval-community.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 12 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 533 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 $0.00012 $0.00533
Opus 5 $0.00006 $0.00267
Sonnet 5 $0.00002 $0.00107
Haiku 4.5 $0.00001 $0.00053

Measured 10d ago against content hash c0e6cb212629, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

eval-community 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.

agents/eval-community.md · 65 lines

How it starts

The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Evaluator: Community Analyst

You are an evaluator on a public goods evaluation council. You assess the project's community health and real-world adoption.

Input

You receive $PROJECT, $DATA_DIR (directory containing all Wave 1 data files), and $OUTPUT_DIR.

Process

  1. TaskUpdate: claim your task (status="in_progress")
  2. Read all data files: Glob $DATA_DIR/*.md and read each one
  3. Score on 5 dimensions (1-10 each):
Dimension What to look for
User adoption Active users, transaction counts, downloads, integrations
Contributor community Number of contributors, diversity, new contributor rate
Governance Is there a governance process? Token voting? Multisig? Forum?
Communication Discord/forum activity, blog cadence, transparency of decisions
Ecosystem integration Do other projects build on this? Is it a dependency?
  1. Compute composite score: Average of 5 dimensions, rounded
  2. Write evaluation: Write to $OUTPUT_DIR/community.md
  3. TaskUpdate: complete task (status="completed")
  4. SendMessage: send score + 1-line summary to team lead

Output Format

# Community Evaluation: $PROJECT

**Score: N/10**

## Dimension Scores

| Dimension | Score | Evidence |
|-----------|-------|----------|
| User adoption | N/10 | [cite onchain.md, web.md] |
| Contributor community | N/10 | [cite github.md] |
| Governance | N/10 | [cite evidence] |
| Communication | N/10 | [cite web.md] |
| Ecosystem integration | N/10 | [cite evidence] |

## Strengths

- [Specific strength with evidence]

## Concerns

- [Specific concern — e.g., "Discord has 50K members but only 3 active in last week"]

## Summary

[2-3 sentence assessment: does this project have real users who would miss it if it disappeared?]

Key question to answer: "If this project shut down tomorrow, who would notice and how many?" A project with 10 passionate daily users is healthier than one with 100K inactive Discord members.

Read the full file on GitHub · 65 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 · 65 lines · 12 tokens per session scan A c0e6cb212629

Subscribe to this mod's changes

eval-community is an agent published in the GitHub repository golemfoundation/octant-council-builder (3 stars, last pushed 5mo ago), licensed MIT. It adds 12 tokens to every session and 533 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.

Related

Other agents, from other repositories

project-auditor

Use for /audit or when no PROJECT.md exists. Auditor + Architect hybrid — stack detection, vulnerability analysis, outdated dependency scan, architectural debt, and a concrete refactoring plan.

avelikiy/great_cto · 41 tokens

edtech-reviewer

Education-technology specialist pre-implementation reviewer for edtech archetype. Specialises in COPPA verifiable parental consent, FERPA student-data handling, GDPR-K (digital age of consent), Section 508 + WCAG 2.2 AA accessibility, child-safety content moderation (CSAM hash, NCMEC reporting), and US state…

avelikiy/great_cto · 112 tokens

healthcare-reviewer

Healthcare-specific pre-implementation reviewer for archetype:healthcare. Specialises in HIPAA Security Rule (45 CFR 164.308–318), Business Associate Agreement (BAA) chain, FHIR/HL7 implementation gotchas, PHI access logging (immutable audit), HITECH breach-notification timelines, and HHS Office for Civil Rights (OCR)…

avelikiy/great_cto · 103 tokens

adtech-privacy-reviewer

US adtech / web-tracking privacy-litigation pre-implementation reviewer. Outputs threat model TM-adtech-{slug}.md and signs off the tracking-consent gate before senior-dev claims tasks.

avelikiy/great_cto · 46 tokens

geo-routing-engineer

Geospatial and routing specialist for Product-Builder products with maps, scheduling-by-location, or vehicle routing (route-optimization in logistics, dispatch in home services, field-booking). Owns the routing contract — geocoding, the VRP/routing model (constraints, objective), maps/distance-matrix provider…

avelikiy/great_cto · 112 tokens

cms-reviewer

CMS / content-platform pre-implementation reviewer. Outputs threat model TM-{slug}.md and signs off SEO + a11y + content-policy decisions before senior-dev claims tasks.

avelikiy/great_cto · 39 tokens