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 cdeust/zetetic-team-subagents --skill formal-correctnessgit clone --depth 1 https://github.com/cdeust/zetetic-team-subagentsWrote 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/cdeust/zetetic-team-subagents/formal-correctness)<a href="https://agentmods.dev/skills/cdeust/zetetic-team-subagents/formal-correctness"><img src="https://agentmods.dev/badge/skills/cdeust/zetetic-team-subagents/formal-correctness/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/cdeust/zetetic-team-subagents/formal-correctness"><img src="https://agentmods.dev/badge/skills/cdeust/zetetic-team-subagents/formal-correctness.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 | $0.00068 | $0.00668 |
| Opus 5 | $0.00034 | $0.00334 |
| Sonnet 5 | $0.00014 | $0.00134 |
| Haiku 4.5 | $0.00007 | $0.00067 |
Grade A, and why
formal-correctness 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 11d 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 — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Formal Correctness
Problem shape: correctness-critical code (concurrency, distribution, protocol, contract) whose failure modes tests cannot exercise. The move: specification before code, invariants before traces, contracts before implementations, decidability before optimization.
Relevant geniuses
| Agent | Use when |
|---|---|
| lamport | distributed design uses wall-clock ordering; no written spec; correctness argued by example executions; partial failure ignored |
| dijkstra | code and correctness argument must be developed together; a construct defeats local reasoning; tests can't cover the failure mode |
| liskov | swapping an implementation breaks callers; interfaces with types but no behavioral contract; composition breaks what components pass alone |
| turing | problem drowning in detail — reduce to the simplest machine; check decidability/complexity class before investing; vague concept needs an operational test |
| godel | the system reasons about itself (self-hosting, self-validating, self-referential rules) — find the incompleteness before it finds you |
| alkhwarizmi | messy problem needs a canonical form and an exhaustive case classification before an algorithm exists |
| panini | a sprawling rule set needs a compact generative specification with explicit conflict-resolution ordering |
Invocation
- Pick the best-fit agent above. If two or more fit, run
tools/genius-invoker.sh route "<problem>"and take the top ranked match. - Load it:
tools/genius-invoker.sh invoke <agent> "<problem>", then readagents/genius/<agent>.mdin full. - Apply the agent's
<workflow>step by step and answer in its<output-format>. The deliverable is a spec, invariant, or contract the code refines — not a narrative that it "looks right". - Typical chain: turing bounds what is decidable → lamport writes the spec →
dijkstra derives the code → liskov contracts the interfaces. Run pairs via
tools/genius-invoker.sh compose lamport dijkstra -- "<problem>". - If no shape above matches, use a standard team agent instead.
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.
- 11d ago First seen · 50 lines · 68 tokens per session scan A dab70955b737
formal-correctness is a skill published in the GitHub repository cdeust/zetetic-team-subagents (7 stars, last pushed yesterday), licensed MIT. It adds 68 tokens to every session and 668 once invoked, about $0.0003 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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