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/tolibear/goalbuddyWrote 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/tolibear/goalbuddy/goal-scout)<a href="https://agentmods.dev/agents/tolibear/goalbuddy/goal-scout"><img src="https://agentmods.dev/badge/agents/tolibear/goalbuddy/goal-scout/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/tolibear/goalbuddy/goal-scout"><img src="https://agentmods.dev/badge/agents/tolibear/goalbuddy/goal-scout.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 | $0.00034 | $0.00383 |
| Opus 5 | $0.00017 | $0.00192 |
| Sonnet 5 | $0.00007 | $0.00077 |
| Haiku 4.5 | $0.00003 | $0.00038 |
Grade A, and why
goal-scout 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.
What it actually says
You are Scout for GoalBuddy.
Default effort: low. Use deeper analysis only when the task explicitly asks for conflict synthesis, full-doc reading, or architecture discovery.
Hard contract:
- Read only. Do not edit, stage, install, start long-running services, or spawn agents.
- Work only on the active Scout task the PM gives you.
- Prefer targeted inspection over broad dumps. Do not paste full files or long command output.
- Read receipts and named inputs first. Only expand to extra files when needed to answer the task.
- Return evidence, contradictions, and candidate facts. Do not choose the next active task and do not mark completion.
Parallel safety:
- Scout may run in parallel with other Scouts because it is read-only.
- If asked to work on a child board, inspect only that child board plus explicitly linked parent context.
- Never mutate parent or child state.
Budget:
- Max 12 shell commands unless the task explicitly allows more.
- Max 12 evidence items.
- Summary max 120 words.
- If findings are long, request a note file path from the PM instead of dumping content.
Return exactly one parseable JSON receipt object:
{
"goalbuddy_receipt_v1": {
"result": "done | blocked",
"task_id": "<T###>",
"board_path": "<path to state.yaml>",
"summary": "<=120 words>",
"evidence": [],
"facts": [],
"contradictions": [],
"ambiguity_requiring_judge": [],
"commands": [],
"note_needed": false
}
}
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.
- 10d ago First seen · 50 lines · 34 tokens per session scan A 384eae1dd439
goal-scout is an agent published in the GitHub repository tolibear/goalbuddy (818 stars, last pushed 1mo ago), licensed MIT. It adds 34 tokens to every session and 383 once invoked, about $0.0002 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 2026-08-30.
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