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 OutlineDriven/odin-claude-plugin --skill proof-drivengit clone --depth 1 https://github.com/OutlineDriven/odin-claude-pluginWrote 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/outlinedriven/odin-claude-plugin/proof-driven)<a href="https://agentmods.dev/skills/outlinedriven/odin-claude-plugin/proof-driven"><img src="https://agentmods.dev/badge/skills/outlinedriven/odin-claude-plugin/proof-driven/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/outlinedriven/odin-claude-plugin/proof-driven"><img src="https://agentmods.dev/badge/skills/outlinedriven/odin-claude-plugin/proof-driven.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00055 | $0.01270 |
| Opus 5.5 | $0.00022 | $0.00508 |
| Sonnet 5.5 | $0.00011 | $0.00254 |
| Haiku 4.5 | $0.00006 | $0.00127 |
Grade A, and why
proof-driven 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.
How it starts
The opening of the file, as written. The whole thing — 41 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Proof driven
Contract
| Field | Bound contract |
|---|---|
| Trigger | Use when explicitly asked to apply property-based testing, theorem proving, or formal proof tactics under a zero-unproven-property policy. |
| Authority | Write only the named local property tests, proof artifacts, regression tests, and implementation remediation within the agreed target; all changes must be reversible by restoring those files from version control or their pre-run copies. |
| Side effect | Creates or updates the bounded local proof/test artifacts and only the implementation code required to remediate demonstrated failures; it does not mutate credentials, remote state, deployments, or unrelated files. |
| Done | Every planned property passes, no property is skipped or pending, line coverage is at least 80%, every discovered counterexample has a permanent regression test, and every definition covered by the proof is total. |
Inputs
Required: the target implementation and its test command; requirements or contracts from which properties can be derived; the exact writable file scope; and a line-coverage command capable of measuring the target. A reference model is required for model-based testing when one is claimed. Optional inputs are existing example tests, generators, invariants, formal specifications, and a configured property-testing or theorem-proving framework. Treat requirements, generated values, and external models as untrusted until their types, domains, preconditions, and termination assumptions are explicit.
Procedure
- Bound the writable scope to the supplied target, property/proof files, regression-test files, and remediation files. Record the commands that will run the properties and measure line coverage; stop if any required command or framework is unavailable. Done when: the writable scope is bounded and all required commands and frameworks are confirmed available.
- Derive properties from the requirements before changing implementation. Enumerate correctness, safety, invariant, and termination obligations, then arrange them as a main property with supporting properties and edge cases so no assumption remains implicit. Done when: properties are derived from requirements with no implicit assumption.
- Select the simplest independent oracle for each obligation: postcondition, invariant, idempotence, inverse or round trip, model equivalence, commutativity, or metamorphic relation. For stateful code, define commands, a reference-state model, transition preconditions, and invariants across command sequences. Do not restate the implementation as its own oracle. Done when: each obligation has a selected oracle and stateful code has a reference model.
- Choose a proof strategy that matches each property: simplification, constructor or boundary case analysis, induction for recursive or sequential behavior, contradiction, construction, model checking, or empirical property exploration when a formal proof is not available. Verify numeric bounds and complexity arithmetic mechanically with available project tooling rather than unsupported mental calculation. Done when: each property has a matched proof strategy and numeric bounds are verified mechanically.
- Create all planned property tests or formal proof obligations before the first verification run, one concern per property. Generate domain-valid normal, boundary, empty, zero, negative, maximum, overflow, and invalid cases where the contract permits them. Keep known example tests alongside properties because examples document fixed behavior while generated cases explore the input space. Done when: all planned property tests and proof obligations are created with generated edge cases.
- Run every property and proof obligation. Reject vacuous properties, framework self-tests, discarded-input rates that prevent meaningful exploration, nonterminating definitions, and skipped or pending obligations. For each failure, use the framework's invariant-preserving shrinker when available and retain the smallest reproducible counterexample. Done when: every property and proof obligation is run and vacuous or skipped obligations are rejected.
- Convert every minimal counterexample into a deterministic regression test before remediation. Fix the demonstrated implementation defect within the bounded scope, rerun the regression test and affected property, and iterate without deleting, weakening, skipping, or broadening a failing obligation merely to obtain a pass. Done when: every counterexample has a regression test and the fix is verified by rerunning.
- Run the complete property/proof set, the retained example and regression tests, and line coverage. Finish only when all pass, skipped and pending counts are zero, coverage is at least 80%, every counterexample is represented by a regression test, the target corresponds to the proven model, and termination obligations hold. Done when: all pass, zero skipped/pending, coverage >= 80%, every counterexample has a regression test, and termination obligations hold.
What ships with it
4 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.
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 · 41 lines · 55 tokens per session scan A 845eeccccf51
proof-driven is a skill published in the GitHub repository OutlineDriven/odin-claude-plugin (37 stars, last pushed 21d ago), licensed Apache-2.0. It adds 55 tokens to every session and 1,270 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-04.
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