lever
claudeFeedback loops for coding agents: Loop Cards, experiment arms, cross-model review, PR shepherding, autonomy and spend dials, and GitHub Actions automations. Ported from github/lever.
16 skills · 1 agent
Crosschecks Claude's code claims using Dafny formal verification for provably correct Python/Go code, plus semi-formal reasoning for structured code analysis.
Plugin crosscheck from marketplace nicholls in nicholls-inc/claude-code-marketplace. Commands read from the repo's manifest — yesterday.
This plugin runs code on your machine — it starts local MCP servers. The exact commands are listed below; read them before installing.
acceptance-oracle-draftScope the top-N user-observable flows for a repo and emit mechanically-verifiable acceptance-scenario skeletons (YAML/JSON) plus a runner-script stub. Does NOT run the scenarios — that's CI's job. Enforces a strict mechanical-verification-only rule: subjective criteria ("UX feels good") must be quan
assurance-initInteractive bootstrap that scaffolds the governance skeletons a repo needs to adopt the 6-layer assurance hierarchy. Creates docs/assurance/ROADMAP.md + horizon directories, .claude/rules/protected-surfaces.md (two-class partition), and skeleton docs/invariants/ docs for 1-3 user-chosen modules. Ask
assurance-layer-auditEntry-point diagnostic for the 6-layer assurance hierarchy. Inspects a repo, detects language and tooling, and emits a per-layer projection table (current reach + ecosystem limits) plus a prioritised gap list. Run this FIRST, before /assurance-init, to scope realistic reach for your codebase. Trigge
assurance-probeMeasure test strength via mutation/vacuity/generator probes (rotation-based). Layer 4 deterministic-strength check: parses the Failure condition clause of each invariant, generates targeted source mutations, and runs covering property-based tests against them, then adds vacuity (branch-coverage delt
assurance-roadmap-checkParse each roadmap item under docs/assurance/**/*.md, read its Status field, and diff the declared state against observed repo/PR state. Flags drift in both directions — docs that say Done but lack a merged PR or expected artifact, docs that say Not started but whose code already exists, stale In pr
assurance-statusOnboarding-gated status dashboard for a repo that has adopted the 6-layer assurance hierarchy. Phase 1 runs a deterministic onboarding check (no LLM); Phase 2 emits a status dashboard covering ROADMAP Status drift, invariant coverage gaps, protected-surface edits lacking governance notes, intent-che
audit-invariant-consistencyLayer 5 + 6 hybrid consistency audit. Given a glob of invariant docs and an optional spec, runs three passes (within-module contradictions, cross-module contradictions, invariant-vs-spec contradictions) and emits a capped, prioritised findings file with 4-path triage blocks (`Accept (amend spec)` is
audit-spec-coverageLayer 6 spec-coverage probe. Given a prose spec and a glob of invariant docs, emits two coverage matrices (spec section → invariant IDs; audit-finding ID → invariant IDs) plus a prioritised gap list and 4-path triage blocks. Mirrors /spec-adversary's discipline (capped output, kill criteria, "what t
check-regressionsScan the spec registry for verified Dafny specs whose associated source files have changed. Re-verify affected specs and report which properties still hold. Use for regression detection after code changes, pre-commit checks, or spec maintenance. Triggers: "check regressions", "did my changes break s
compare-patchesDetermine whether two code patches are semantically equivalent by tracing execution through the test suite using semi-formal reasoning. Produces a structured proof of equivalence or a specific counterexample. Triggers: "compare patches", "are these equivalent", "same behavior", "diff comparison".
correspondence-reviewReview each Lean definition produced by `/lean-impl` against the actual source code and classify correspondence as exact, abstraction, approximation, or mismatch — with file:line citations. Documents divergences and assesses impact on any proved theorems. Step 4 of the Lean-side pipeline; downstream
draft-invariantsContract-first methodology for drafting module-level invariants and property tests. Reads the project's prose spec first when one exists; falls back to user elicitation only when no spec is found. Anchors each invariant in real past failures (incidents, audit-findings), gap-analyses against the code
drt-oracleDifferential random testing between a Lean 4 model (the oracle) and a production implementation (the system under test), scoped by the classification document produced by `/correspondence-review`. Step 5 of the Lean-side pipeline; final step. Generates random inputs, executes both implementations, c
extract-codeCompile verified Dafny to Python or Go with Dafny runtime boilerplate stripped. Presents clean output ready for project integration, with type mappings and property-based test suggestions. Use after /generate-verified produces a verified implementation. Triggers: "extract to python", "extract to go"
generate-verifiedGenerate a Dafny implementation body that satisfies a verified spec. Iteratively adds proof hints, loop invariants, and lemmas until the verifier accepts. With `evidence: <path.dfy>`, commits the verified program there and emits an evidence record with dafny_evidence. Use after /spec-iterate produce
informal-specExtract a precise prose specification for a module before any Lean code is written — preconditions, postconditions, invariants, edge cases, concrete examples, and ambiguities flagged for the user. Step 1 of the Lean pipeline (informal spec → Lean spec stub → Lean impl → correspondence review → DRT o
intent-checkPortable round-trip informalization over (invariant prose, covering test, code diff) — Layer 5 of the assurance hierarchy. Runs a two-LLM pipeline (blind back-translator then diff-checker), appends outcomes to a false-positive tracker, writes an advisory JSON record of the run, and enforces a 30% FP
invariant-coverage-scaffoldGenerate a bidirectional invariant-to-test coverage gate for a repo that uses docs/invariants/*.md plus `// Invariant <ID>: <Name>` test comments. Emits both a pre-commit hook and a CI job (dual-track enforcement), adapted to the target repo's language and test framework. v1 supports Go, Python, Typ
journal-contextDeterministic walk of the directory tree from a starting path up to the enclosing git repository root, dumping every JOURNAL.md it encounters in walk order (deepest first, root last). No LLM in the walk. Use before non-trivial design work in any directory to load the narrative record above that loca
lean-implTranslate the source implementation into a Lean 4 functional definition that the propositions from `/lean-spec` can be connected to. For imperative or effectful production code, build a pure functional model and explicitly document what the model abstracts away. Step 3 of the Lean-side pipeline; dow
lean-specTranslate a signed-off informal specification into a Lean 4 specification stub: type definitions mirroring the source, function signatures, key theorem declarations with `sorry` proof bodies, and the Mathlib imports needed to make the file `lake build` cleanly. Drives the Lean toolchain in a retry l
lightweight-verifyGenerate lightweight verification artifacts for functions where full formal verification is overkill: design-by-contract assertions, property-based tests, and documented runtime invariant checks. Use for simple transformations, CRUD, concurrency, or floating-point code that Dafny cannot verify. Trig
locate-faultLocate the root cause of a failing test using 4-phase semi-formal reasoning: test semantics analysis, code path tracing, divergence analysis, and ranked predictions. Traces from failure to root cause rather than fixating on crash sites. Triggers: "locate fault", "find the bug", "why does this fail",
protected-surface-amendGiven a planned change to a protected-surface file, generate the governance-note amendment block that must accompany the edit: change description, rationale, class (A/B), governing roadmap item, authority, explicit diff plan, test/coverage impact, and review checklist. Primarily agent-invocable — th
rationaleBuild a hierarchical claim tree arguing that code adequately satisfies its requirements. Each leaf claim is classified by verification method (formal, behavioral, static, semantic) and verified where possible. Bridges formal verification and semi-formal reasoning. Triggers: "build rationale", "is th
reasonGeneral-purpose semi-formal code reasoning that structures analysis into an evidence-driven certificate. Forces premise gathering, execution tracing, and alternative hypothesis checking before conclusions. Use for any code question: "Is this correct?", "Will this break?", "What does this do?", "Is t
spec-adversaryAdversarially probe a module's invariant documentation for missing properties. Given `docs/invariants/<module>.md` plus the module's code, proposes up to 3 candidate invariants the spec is failing to document, each annotated with evidence, category, confidence, and an accept/reject/defer triage bloc
spec-iterateDraft and verify a Dafny formal specification from a natural language description. Produces a verified spec with preconditions, postconditions, and invariants. Use when the user wants to formally specify a function, algorithm, or correctness property. Triggers: "specify", "formal spec", "write a spe
suggest-specsAnalyze code to propose candidate formal specifications. Identifies functions that would benefit from verification and generates natural-language preconditions, postconditions, and invariants. Lowers the barrier to entry for /spec-iterate. Triggers: "suggest specs", "what should I verify", "find ver
trace-executionHypothesis-driven execution path tracing that builds complete call graphs from entry point to leaf functions. Documents observations with line numbers and updates hypotheses as evidence is gathered. Triggers: "trace execution", "what happens when", "follow the code path", "call graph", "trace the fl
add-orchestratorADD (Assurance-Driven Development) methodology workflow runner. Drives the spec-driven fast path: signed-off spec → bulk-drafted invariants → batched audit → user-triaged findings → approved invariant docs ready for implementation. Dispatches parallel subagents per module. Hands off to byfuglien for
auditorADD Phase 5 auditor — the read-only consolidation agent. Runs scheduled or on-demand passes over the ADD artifact stack and renders one verdict per artifact: settled / active / drifted. Grounds every verdict in deterministic signals (coverage matrices, session-marker hashes, JOURNAL diff-type lines,
byfuglienOrchestrator for formal verification and semi-formal code reasoning. Classifies tasks, routes to appropriate verification or reasoning skills, and validates output quality. Use for any formal verification, structured code reasoning, fault localization, patch comparison, or specification management t
hellebuyckOrchestrator for specification-chain assurance (Layers 4–6) and governance scaffolding. Classifies tasks, routes to /assurance-*, /intent-check, /spec-adversary, /acceptance-oracle-draft, /protected-surface-amend, and validates output quality. Named after Connor Hellebuyck — the goalie, last line of
lowryPhase 4 gated-implementation agent — the run-to-green loop. Drives a red build to green against a ratified invariant contract within three legal commit shapes (implementation / governance-amendment / new-invariant), and refuses to reach green by weakening an invariant: when the only path forward wea
dafnyruns: node ${CLAUDE_PLUGIN_ROOT}/mcp-server/dist/index.js
Problems found in this repo's manifests
Feedback loops for coding agents: Loop Cards, experiment arms, cross-model review, PR shepherding, autonomy and spend dials, and GitHub Actions automations. Ported from github/lever.
16 skills · 1 agent
Meta prompts that help you discover and install curated GitHub Copilot agents, instructions, prompts, and skills from the awesome-copilot repository.
4 skills · 1 agent
Write and check non-fiction prose against a measured reference of human writing: several candidate drafts under a voice file, a pick by measured profile, and a check of specifics against supplied material.
2 skills
Multi-agent PR review swarm and review-triage skills for automated, multi-lens code reviews.
2 skills
Generate structured performance reports on plugins, skills, and agents by analysing Claude Code session conversations.
1 skill
Autonomous agent scheduling for GitHub issues — scans, queues, and launches Claude Code sessions to fix bugs, implement features, and refine issue descriptions.
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