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 skills add SocialGouv/claw-code-go --skill math-olympiadgit clone --depth 1 https://github.com/SocialGouv/claw-code-goWrote 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/skills/socialgouv/claw-code-go/math-olympiad)<a href="https://agentmods.dev/skills/socialgouv/claw-code-go/math-olympiad"><img src="https://agentmods.dev/badge/skills/socialgouv/claw-code-go/math-olympiad/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/skills/socialgouv/claw-code-go/math-olympiad"><img src="https://agentmods.dev/badge/skills/socialgouv/claw-code-go/math-olympiad.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 | $0.00163 | $0.04533 |
| Opus 5.5 | $0.00065 | $0.01813 |
| Sonnet 5.5 | $0.00033 | $0.00907 |
| Haiku 4.5 | $0.00016 | $0.00453 |
Grade A, and why
math-olympiad 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 1mo 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.
This is a copy
100% identical to math-olympiad — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 412 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Math Olympiad Solver
The five things that change outcomes
- Strip thinking before verifying — a verifier that sees the reasoning is biased toward agreement. Fresh context, cleaned proof only.
- "Does this prove RH?" — if your theorem's specialization to ζ is a famous open problem, you have a gap. Most reliable red flag.
- Short proof → extract the general lemma — try 2×2 counterexamples. If general form is false, find what's special about THIS instance.
- Same gap twice → step back — the case split may be obscuring a unified argument. Three lines sometimes does what twelve pages couldn't.
- Say "no confident solution" — wrong-and-confident is worse than honest abstain.
Tool policy: Solvers and verifiers use THINKING ONLY in the tight-budget workflow. Competition math is reasoning. Computation is for deep mode (§6c), and even then bounded — a recurrence that's doubly-exponential can't be computed past n~30, work mod 2^m instead.
When to use which approach
| Problem | Approach | Verification |
|---|---|---|
| AIME numeric answer | Best-of-N → majority vote | Answer check only |
| Olympiad proof (IMO/Putnam/USAMO) | Full workflow below | 5-pass adversarial |
| "Is this proof correct?" | Skip to verification (step 4) | Adversarial + spec-gaming |
| Full problem set (e.g. all 6 from a competition) | Sequential: one full workflow per problem, collect results, compile single PDF | Per-problem adversarial |
What ships with it
10 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- evals/trigger_eval.json 2.0 KB
- references/adversarial_prompts.md 12 KB
- references/attempt_agent.md 1.9 KB
- references/known_constructions.md 2.0 KB
- references/model_tier_defaults.md 2.9 KB
- references/presentation_prompts.md 6.0 KB
- references/solver_heuristics.md 5.9 KB
- references/verifier_patterns.md 8.1 KB
- scripts/check_latex.sh 205 B runs code
- scripts/compile_pdf.sh 1.5 KB runs code
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.
- 1mo ago First seen · 412 lines · 163 tokens per session scan A f697e195d343
math-olympiad is a skill published in the GitHub repository SocialGouv/claw-code-go (8 stars, last pushed 23d ago), licensed MIT. It adds 163 tokens to every session and 4,533 once invoked, about $0.0007 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to math-olympiad, differing in 0 lines, and is treated as a copy.
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