Install
$ agentstack add skill-younes-io-agent-skills-tla-proof ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
TLA+ Proof
Outputs
- Updated proof-bearing TLA+ module(s):
*.tla - TLAPS run artifacts:
.tla-proof/runs//...
Non-Negotiables (Honesty Rules)
- Never claim full system correctness from a partial proof.
- Always report what was proved, what failed, and what was omitted.
- Always surface trust boundaries (
ASSUME,AXIOM, omitted proofs, imported facts). - Never conflate TLC outcomes with TLAPS outcomes; treat them as different evidence.
- Always keep theorem statements stable while debugging unless the user approves spec changes.
Workflow (Target Class -> Proof Plan -> TLAPS -> Iterate)
1) Pin Down Target and Trust Boundary
Record:
- theorem statement(s) in scope
- proof class: direct fact, inductive invariant, refinement, formula equivalence, safety, liveness
- assumptions/environment model
- required imported definitions/lemmas
- candidate strengthening invariants or helper lemmas if the target does not look inductive yet
- proof granularity target (quick progress vs fully structured proof)
If theorem intent is ambiguous, state candidate interpretations and choose one explicitly. If the user is refactoring a spec and wants semantic preservation, consider a direct equivalence theorem (F G) instead of only bounded TLC evidence.
2) Draft Minimal Hierarchical Proof Structure
Start with the smallest stable structure:
THEOREM ...PROOFSUFFICES,HAVE,CASE,PICK,TAKE,WITNESS,QEDas needed
Prefer explicit sub-lemmas over long single-step BY clauses. Use BY DEF ... only for required definitions. Formula-equivalence proofs for refactors are a supported pattern, for example THEOREM F G BY DEF F, G. Match the structure to the proof class:
- inductive invariant/safety: isolate base case vs step case and split
Nextby action - refinement: state the abstraction relation/refinement mapping and prove init/step obligations separately
- formula equivalence: start with
THEOREM F G; if a one-line proof fails, split intoF => GandG => F - liveness/starvation freedom: pin down fairness and ranking assumptions before proof search, then expect auxiliary lemmas
3) Run TLAPS Deterministically
Prereqs:
bashjqtlapm
Run from the skill directory:
scripts/tlaps_check.sh --spec path/to/Foo.tla
Artifacts:
.tla-proof/runs//summary.json.tla-proof/runs//tlaps.stdout.tla-proof/runs//tlaps.stderr
4) Triage Failing Obligations
Classify failures before editing:
- missing strengthening invariant or helper lemma
- missing context facts
- insufficient decomposition
- missing definition expansion
- backend/tactic mismatch
- malformed theorem/proof structure
- wrong target framing (for example, an equivalence theorem is the real goal)
Patch minimally, then re-run. If the same inductive step keeps failing, stop cycling tactics and propose the smallest strengthening fact that would make the step go through.
5) Report Progress Precisely
Report:
- theorem(s) checked
- proved/failed/omitted obligations
- assumptions and trust boundaries
- remaining proof gaps
If counts are inconclusive, say so explicitly. Common refactor-proof target: prove a rewritten formula or action is equivalent to the original, rather than only model-checking F G with TLC.
Resources
scripts/
scripts/tlaps_check.sh: runtlapm, capture logs, emitsummary.json
references/
references/proof_skeleton.md: minimal hierarchical proof templatesreferences/local_moves.md: TLAPS-specific logical moves and proof-shape defaultsreferences/proof_debugging.md: failure taxonomy and remediation playbookreferences/tactics_quickref.md: tactic/backend guidance and escalation orderreferences/case_bank.md: discussion-derived proof classes and non-trivial example ideas
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: younes-io
- Source: younes-io/agent-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.