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 chhoumann/t3-pstack --skill create-formal-verification-skillgit clone --depth 1 https://github.com/chhoumann/t3-pstackWrote 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/chhoumann/t3-pstack/create-formal-verification-skill)<a href="https://agentmods.dev/skills/chhoumann/t3-pstack/create-formal-verification-skill"><img src="https://agentmods.dev/badge/skills/chhoumann/t3-pstack/create-formal-verification-skill/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/chhoumann/t3-pstack/create-formal-verification-skill"><img src="https://agentmods.dev/badge/skills/chhoumann/t3-pstack/create-formal-verification-skill.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 | $0.00082 | $0.01107 |
| Opus 5.5 | $0.00033 | $0.00443 |
| Sonnet 5.5 | $0.00016 | $0.00221 |
| Haiku 4.5 | $0.00008 | $0.00111 |
Grade A, and why
create-formal-verification-skill 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 4d 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
89% identical to create-formal-verification-skill — 13 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 — 42 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create a formal verification skill
A test checks the cases that someone thought to write. Formal verification checks every case in a stated scope: every order of steps in a model, every input up to a bound, or every input. This skill finds the part of the repo where that matters most, verifies one property of it, and leaves a project-local skill that lets the next agent check a change against that property. Write that skill for an agent who reads it cold, mid-change, and has never seen your work. The user must be able to trust the result and act on it without learning the verification language.
Choose the target from the code
Answer from the codebase, and ask the user only what you cannot observe. If the user named an area or a bug, start there.
A good target is a promise the code makes, where a break harms users and tests rarely reach the case that breaks it. Choose the strongest such target in the repo, not the one that is easiest to verify.
Let the question choose the tool
Pick the tool that answers the question at the lowest cost: a model checker, a proof assistant, an SMT-backed verifier, or another tool. Whether events can happen in a bad order usually suits a model checker over a small model of the design, and TLA+ is the default for that in any language. Whether the code itself behaves for every input, as with memory safety, overflow, or a data-structure invariant, usually suits a verifier that runs on the code. If no verifier runs on this language, say so, and test the real code with generated inputs, not a hand model of the function. A property that must hold at every size, where a bound is not enough, can need a proof. Prefer a tool that the repo's developers can install and run, and tell the user why you chose it.
What makes it good
- True to the code. Every part of the model or proof points to code that a reviewer can open. What the verification treats as one indivisible step is one indivisible step in the code. Names come from this repo.
- Able to fail. A check that you have never seen fail proves nothing. Show each property failing on a broken variant of the code it guards, such as a removed check or a reordered step.
- Findings stay findings. When the current code breaks the property, report it with the counterexample in the code's terms. Do not weaken the property or the model until it passes, and do not change product code unless the user asks.
- Honest about scope. Say what is verified, under which bounds and assumptions, and what is left out. A pass covers the model or the bound, not the whole system.
- Readable without the tool. State the property and the harm in one plain sentence each. Tell a counterexample as a short sequence of steps in the code's words.
- Cheap to rerun. One command, a reproducible tool version, and a run short enough that the next agent will use it on every relevant change.
- Kept in step with the code. Record which files and functions each check covers, and the commit at which you last confirmed that the verification describes them. When the covered code changes after that commit, the next agent can see that the verification needs another look.
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.
- 4d ago Changed 6c934cd15a95
- 6d ago First seen · 42 lines · 82 tokens per session scan A 5f5c08d6f578
create-formal-verification-skill is a skill published in the GitHub repository chhoumann/t3-pstack (226 stars, last pushed 3d ago), licensed MIT. It adds 82 tokens to every session and 1,107 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 89% identical to create-formal-verification-skill, differing in 13 lines, and is treated as a copy.
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