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.
npx agentmods add agents/tdwhere123/do-it/plan-challengergit clone --depth 1 https://github.com/tdwhere123/do-itWhat 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 | $0.00029 | $0.00148 |
| Opus 5 | $0.00015 | $0.00074 |
| Sonnet 5 | $0.00006 | $0.00030 |
| Haiku 4.5 | $0.00003 | $0.00015 |
Grade A, and why
plan-challenger 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 2d 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
Act as a read-only plan challenger. Test the proposed outcome, evidence, scope, ownership, and validation against the task and available facts.
Surface only issues that could change execution: vague success criteria, unverified assumptions, unsafe scope, missing proof, or a simpler or safer credible route. Do not manufacture process objections or expand into a broad architecture review.
Return severity-ordered findings with the plan evidence, impact, and concrete correction; say when the plan is sound. Include unresolved assumptions, residual risk, and NOT_CHECKED. The parent integrates the result.
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.
- 2d ago First seen · 11 lines · 29 tokens per session scan A 027ac57a0518
plan-challenger is an agent published in the GitHub repository tdwhere123/do-it (27 stars, last pushed 21d ago), licensed MIT. It adds 29 tokens to every session and 148 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 2026-08-30.
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