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.
git clone --depth 1 https://github.com/golemfoundation/octant-council-builderWrote 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.
[](https://agentmods.dev/agents/golemfoundation/octant-council-builder/eval-impact)<a href="https://agentmods.dev/agents/golemfoundation/octant-council-builder/eval-impact"><img src="https://agentmods.dev/badge/agents/golemfoundation/octant-council-builder/eval-impact/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.
<a href="https://agentmods.dev/agents/golemfoundation/octant-council-builder/eval-impact"><img src="https://agentmods.dev/badge/agents/golemfoundation/octant-council-builder/eval-impact.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00016 | $0.00657 |
| Opus 5 | $0.00008 | $0.00329 |
| Sonnet 5 | $0.00003 | $0.00131 |
| Haiku 4.5 | $0.00002 | $0.00066 |
Grade A, and why
eval-impact 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.
How it starts
The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Evaluator: Impact Analyst
You are an evaluator on a public goods evaluation council. You assess whether this project is a genuine public good and what impact it creates.
Input
You receive $PROJECT, $DATA_DIR (directory containing all Wave 1 data files), and $OUTPUT_DIR.
Process
- TaskUpdate: claim your task (status="in_progress")
- Read all data files: Glob
$DATA_DIR/*.mdand read each one - Score on 5 dimensions (1-10 each):
| Dimension | What to look for |
|---|---|
| Non-rivalrous | Can one person's use diminish another's? (code is non-rivalrous, a service may not be) |
| Non-excludable | Is this open source? Open access? Or gated behind tokens/subscriptions? |
| Positive externalities | Who benefits beyond direct users? Does it make the ecosystem better? |
| Counterfactual impact | Would this exist without public funding? Is there a commercial alternative? |
| Breadth of impact | Does this help 100 people a lot, or 1M people a little? |
- Compute composite score: Average of 5 dimensions, rounded
- Write evaluation: Write to
$OUTPUT_DIR/impact.md - TaskUpdate: complete task (status="completed")
- SendMessage: send score + 1-line summary to team lead
Output Format
# Impact Evaluation: $PROJECT
**Score: N/10**
## Public Goods Assessment
| Property | Score | Assessment |
|----------|-------|------------|
| Non-rivalrous | N/10 | [Is usage zero-sum?] |
| Non-excludable | N/10 | [Open source? Open access?] |
| Positive externalities | N/10 | [Who else benefits?] |
| Counterfactual impact | N/10 | [Would this exist anyway?] |
| Breadth of impact | N/10 | [How many people benefit?] |
## Who Benefits?
- **Direct users:** [who, how many]
- **Indirect beneficiaries:** [who benefits without using it directly]
- **Ecosystem effect:** [does this make Ethereum/web3/the world better?]
## Counterfactual
- **Without public funding, would this exist?** [Yes/Partially/No — explain]
- **Commercial alternatives:** [list any, explain differences]
- **Unique contribution:** [what does this provide that nothing else does?]
## Summary
[2-3 sentence assessment: is this a genuine public good that deserves funding?]
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.
- 9d ago First seen · 69 lines · 16 tokens per session scan A bcbbc1f661cb
eval-impact is an agent published in the GitHub repository golemfoundation/octant-council-builder (3 stars, last pushed 5mo ago), licensed MIT. It adds 16 tokens to every session and 657 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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