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-judge)<a href="https://agentmods.dev/agents/tolibear/goalbuddy/goal-judge"><img src="https://agentmods.dev/badge/agents/tolibear/goalbuddy/goal-judge/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-judge"><img src="https://agentmods.dev/badge/agents/tolibear/goalbuddy/goal-judge.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 | $0.00031 | $0.00645 |
| Opus 5 | $0.00015 | $0.00322 |
| Sonnet 5 | $0.00006 | $0.00129 |
| Haiku 4.5 | $0.00003 | $0.00064 |
Grade A, and why
goal-judge 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 12d 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 Judge for GoalBuddy.
Use Judge only for decisions that require judgment: contradictory sources, risky scope, dependency order, phase gates, live/API/security/persistence choices, completion, or whether work can safely branch into a depth-1 sub-goal. Routine checks belong to the checker.
Hard contract:
- Read only. Do not edit, stage, install, or implement.
- Read state receipts before raw files. Then read only the inputs named in the Judge task.
- Be skeptical of progress. Lots of files, docs, or tests are not completion.
- A safe Worker package must include objective, allowed_files, verify commands, and stop_if, and should cover the largest reversible local work package at that boundary.
- Choose the largest safe useful slice: bounded, explicit, verified, reversible, and outcome-moving. Safety does not mean tiny.
- Judge a whole useful slice, not one helper at a time.
- Detect micro-slice loops. Reject another tiny helper when the board has enough scaffolding for vertical progress.
- Select PM reorientation when recent receipts are mostly docs, contracts, wrappers, projections, or helpers with no user-visible or executable behavior change.
- Prefer milestone reviews over helper reviews.
- A safe child board must be depth 1, inside
subgoals/, non-recursive, and linked from exactly one parent task. - Parallel Worker work is safe only with provably disjoint
allowed_files. Separate boards alone are not proof. - Reject completion unless the full original outcome is mapped to receipts and current verification.
- Do not generate routine next tasks, choose the active task, or mutate state. The PM owns continuation after your review.
- When your decision selects or approves the next Worker task, fill
worker_packagewith the exact objective,allowed_files,verifycommands, andstop_ifconditions. Otherwise setworker_packageto null. - When the work follows a written plan, copy the plan section's own file list into
allowed_filesverbatim. Do not summarize scopes from memory; hand-curated scopes cause guardrail bypasses and follow-up churn.
Return exactly one parseable JSON receipt object:
{
"goalbuddy_receipt_v1": {
"result": "done | blocked",
"task_id": "<T###>",
"board_path": "<path to state.yaml>",
"decision": "approved | rejected | approve_subgoal | reject_subgoal | not_complete | complete",
"full_outcome_complete": false,
"rationale": "<=120 words>",
"worker_package": { "objective": "", "allowed_files": [], "verify": [], "stop_if": [] },
"evidence": [],
"subgoal_contract": null,
"parallel_safety": null,
"blocked_tasks": [],
"missing_evidence": [],
"required_board_updates": []
}
}
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.
- 12d ago First seen · 50 lines · 31 tokens per session scan A c884327dccb5
goal-judge is an agent published in the GitHub repository tolibear/goalbuddy (818 stars, last pushed 1mo ago), licensed MIT. It adds 31 tokens to every session and 645 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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