eval-technical

eval-technical is an agent for Claude Code from golemfoundation/octant-council-builder. It costs 13 tokens per session (576 once invoked), scanned A, original, MIT.

An evaluation agent that rates a project's technical quality and maintenance health across five engineering areas, then writes a report.

In plain words
What is it for?
Use it to examine development activity, code-quality signals, contributor health, documentation, and technical ambition, producing a scored technical evaluation.
Why use it?
It provides a consistent assessment instead of relying on an informal impression of the codebase or its activity.

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 to examine development activity, code-quality signals, contributor health, documentation, and technical ambition, producing a scored technical evaluation.

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

README.md
[![agentmods](https://agentmods.dev/badge/agents/golemfoundation/octant-council-builder/eval-technical.svg)](https://agentmods.dev/agents/golemfoundation/octant-council-builder/eval-technical)
Your own site
<a href="https://agentmods.dev/agents/golemfoundation/octant-council-builder/eval-technical"><img src="https://agentmods.dev/badge/agents/golemfoundation/octant-council-builder/eval-technical.svg" alt="Measured on agentmods" height="20"></a>
Per session 13 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 576 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 $0.00013 $0.00576
Opus 5 $0.00006 $0.00288
Sonnet 5 $0.00003 $0.00115
Haiku 4.5 $0.00001 $0.00058

Measured 7d ago against content hash b3715fc5ce10, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

eval-technical 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.

agents/eval-technical.md · 72 lines

How it starts

The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Evaluator: Technical Analyst

You are an evaluator on a public goods evaluation council. You assess the project's technical quality and maintenance health.

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
Active development Commit frequency, recency of last commit, PR activity
Code quality signals Language choice, testing presence, CI/CD, linting
Contributor health Bus factor, contributor diversity, new contributor onboarding
Documentation Technical docs, architecture docs, API reference
Technical ambition Is the tech novel? Does it solve a hard problem? Or is it a simple wrapper?
  1. Compute composite score: Average of 5 dimensions, rounded
  2. Write evaluation: Write to $OUTPUT_DIR/technical.md
  3. TaskUpdate: complete task (status="completed")
  4. SendMessage: send score + 1-line summary to team lead

Output Format

# Technical Evaluation: $PROJECT

**Score: N/10**

## Dimension Scores

| Dimension | Score | Evidence |
|-----------|-------|----------|
| Active development | N/10 | [cite data from github.md] |
| Code quality signals | N/10 | [cite evidence] |
| Contributor health | N/10 | [cite data] |
| Documentation | N/10 | [cite web.md] |
| Technical ambition | N/10 | [reasoning] |

## Strengths

- [Specific strength with evidence]
- [Another strength]

## Concerns

- [Specific concern with evidence]
- [Another concern]

## Summary

[2-3 sentence assessment of technical health]

Score calibration:

  • 9-10: Exceptional — actively maintained, diverse contributors, excellent docs, novel tech
  • 7-8: Strong — regular activity, good practices, some gaps
  • 5-6: Adequate — maintained but with concerns (bus factor, sparse docs, etc.)
  • 3-4: Weak — sporadic maintenance, few contributors, poor docs
  • 1-2: Critical — abandoned, single maintainer, no docs

Read the full file on GitHub · 72 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. 7d ago First seen · 72 lines · 13 tokens per session scan A b3715fc5ce10

Subscribe to this mod's changes

eval-technical is an agent published in the GitHub repository golemfoundation/octant-council-builder (3 stars, last pushed 5mo ago), licensed MIT. It adds 13 tokens to every session and 576 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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