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 writing-tla-plus-specsgit 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/writing-tla-plus-specs)<a href="https://agentmods.dev/skills/outlinedriven/odin-claude-plugin/writing-tla-plus-specs"><img src="https://agentmods.dev/badge/skills/outlinedriven/odin-claude-plugin/writing-tla-plus-specs/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/writing-tla-plus-specs"><img src="https://agentmods.dev/badge/skills/outlinedriven/odin-claude-plugin/writing-tla-plus-specs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high YARA Match · line 3 YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).Fix: Remove offensive tool references and exploit code. Legitimate agent skills should not contain penetration testing tools, exploit frameworks, or reconnaissance utilities.
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 | $0.00052 | $0.02076 |
| Opus 5 | $0.00026 | $0.01038 |
| Sonnet 5 | $0.00010 | $0.00415 |
| Haiku 4.5 | $0.00005 | $0.00208 |
Grade A, and why
writing-tla-plus-specs 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 6d 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 — 39 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Writing TLA+ specs
Contract
| Field | Bound contract |
|---|---|
| Trigger | A distributed protocol, concurrent algorithm, or system design needs an explicit-state or symbolic model check of its safety and liveness properties, or an existing TLC, Apalache, Quint, or Alloy run needs its counterexample read and acted on. |
| Authority | Reversible local: writes .tla, .cfg, .qnt, and .als files and the tool output directories they produce; rollback is deleting those files. No remote mutation. |
| Side effect | Spec and configuration files on disk, plus TLC's states directory and Apalache's _apalache-out directory. |
| Done | Every named invariant and temporal property either passes under a recorded bound and configuration, or has a counterexample trace mapped to a named design defect. |
Inputs
A description of the system: its state variables, the actions that change them, and the properties that must hold. The tool pins from the grounded set: tla2tools.jar v1.7.4 (stable; v1.8.0 is a pre-release and the old TLA+ Toolbox GUI is declared unmaintained, so use the tlaplus.vscode-ide extension or the command line), Apalache v0.62.2 (download apalache.zip or apalache.tgz from GitHub Releases), Alloy v6.2.0 (standalone .jar from alloytools.org), Quint 0.32.0 (install per https://quint-lang.org/docs/getting-started). A JVM is required for TLC, Apalache, and Alloy. Optional: a state-space bound, a ConstInit operator that bounds constants for Apalache, and a Quint spec when the author prefers its surface syntax.
Procedure
- Pick the engine. Use TLC when the model has a small finite instance and the properties include liveness. Use Apalache when constants are unbounded or the explicit state space is too large, and the properties are safety invariants or bounded temporal checks. Use Alloy when the question is about a data or relational structure rather than a protocol's steps; Alloy 6 adds
always,eventually,after,before,until, andreleasesfor temporal checks, and that mode requires NuSMV or nuXmv onPATH. Use Quint only as an alternate front end: it keeps TLA semantics and hands checking to Apalache or TLC throughquint verify. Done when: one engine is named with the reason. - Write the spec skeleton. In TLA+, declare
CONSTANTSandVARIABLES, defineInit, one operator per action,Nextas their disjunction,Spec == Init /\ [][Next]_vars, and aTypeOKinvariant that names the domain of every variable. Keep every action a conjunction of a guard and primed assignments. For Apalache, annotate every constant and variable with\* @type: T;(typesBool,Int,Str,Set(T),Seq(T),<<T1, T2>>,T1 -> T2,{ f: T }) and runapalache-mc typecheck Spec.tlauntil it printsType checker [OK]. In Alloy, declaresigandfactblocks, onepredper operation, andrun p for Norcheck a for Ncommands; the scope keywordforbounds each signature. Done when: the spec parses andTypeOKholds in the initial state. - State the properties. Safety goes in invariants: one operator per claim, named for the claim (
NoDoubleSpend, notInv1). Liveness goes in temporal formulas under a fairness assumption (WF_vars(Action)orSF_vars(Action)) inSpec; without fairness every liveness property fails on a stuttering behavior. Done when: every property in the design brief has an operator, and every liveness formula has the fairness it needs. - Configure and run TLC. Write
Spec.cfgwithSPECIFICATION Spec,CONSTANTS Name = Valuefor each constant at a small instance (two or three processes first),INVARIANTS TypeOK NoDoubleSpend, andPROPERTIES Liveness. Runjava -jar tla2tools.jar -config Spec.cfg -workers auto Spec.tla. Add-deadlockonly when the spec models a terminating system and deadlock is not a defect; otherwise TLC treats a state with no successor as an error. Use-simulate num=1000for a quick random pass before an exhaustive run, and-dfid Nfor depth-first search of a deep state space. Done when: TLC exits 0 with the state count recorded, or exits 11 (deadlock), 12 (invariant violation), or 13 (temporal property violation) with a trace. - Read the TLC trace. The trace starts with
Error: Invariant X is violatedfollowed byState 1:throughState n:, each listing every variable and the action that produced it. Read the last state first: the violated invariant names the variable that went wrong. Walk backward to the first action whose guard was too weak. Use-difftraceto print only changed variables, and-dumpTrace json trace.jsonto save the trace for a diff against the next run. Classify the cause as a spec bug (the action does not model the system), a property bug (the invariant is stronger than the design promises), or a design defect. Only the third is a finding for the design owner. Done when: the trace is classified and the defect or spec fix is written down. - Scale with Apalache. When TLC cannot finish, run
apalache-mc check --inv=NoDoubleSpend --length=10 Spec.tla;--lengthbounds the number of steps and defaults to 10. Bound constants with--cinit=ConstInitwhereConstInit == N \in 2..5. Check an inductive invariant with two runs:--init=IndInv --inv=IndInv --length=0proves the initial state satisfies it, and--init=IndInv --next=Next --inv=IndInv --length=1proves every step preserves it. Counterexamples land in_apalache-out/(override with--out-dir) ascounterexample1.tla;--max-error=Ncollects up to N of them. Switch the backend with--smt-solver=cvc5when Z3 stalls. Done when: the property holds at the recorded bound, or the counterexample is classified as in step 5. - Drive Quint when the spec is written in Quint. Run
quint typecheck spec.qnt, thenquint run spec.qnt --invariant=NoDoubleSpend --max-steps=20 --max-samples=10000for random simulation, thenquint verify spec.qnt --invariant=NoDoubleSpend --max-steps=10for the Apalache-backed bounded check (--backend=tlcselects TLC).quint runprints[violation]with the trace on failure;--out-itfwrites the trace as an ITF file. Done when: the same property classification as step 5 is recorded. - Record the result. State the tool, version, configuration, bound, state count or step length, and wall time beside each property. A property checked at three processes and depth 10 is proven at that instance and nothing more; write the bound next to the claim. Done when: every property line in the output carries its bound.
What ships with it
1 file 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.
- 6d ago First seen · 39 lines · 52 tokens per session scan A a6f75803be30
writing-tla-plus-specs is a skill published in the GitHub repository OutlineDriven/odin-claude-plugin (36 stars, last pushed 3d ago), licensed Apache-2.0. It adds 52 tokens to every session and 2,076 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 2026-09-06.
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