agentic-commerce-lab/pawl

Registry-as-ground-truth verification & autonomous research framework for agent-driven development.

67Stars on the repository
14Mods indexed here, across every type
1mo agoLast push, which is what freshness is scored on
noneNo LICENSE: all rights reserved, so bodies are not copied

claim-lifecycle

01

agentic-commerce-lab/pawl

Skill Claude CodeCodex

Implements verification claims — register.py, initfolder.py, frozen gates, tools/run.py, honest promotion. Use when adding a feature, creating a claim, promoting Planned to Verified/Failed, or following the lifecycle before writing feature code.

67 1mo ago A 52 tokens

fast-iteration

02

agentic-commerce-lab/pawl

Skill Claude CodeCodex

Fast claim-harness iteration — reuse flags, single-job runs, cache discipline, honest labeling of dev shortcuts. Use when developing or debugging a claim gate before the official tools/run.py pass.

67 1mo ago A 42 tokens

honest-negative

03

agentic-commerce-lab/pawl

Skill Claude CodeCodex

Documents honest-negative verification outcomes when a claim fails — names the exact missing capability, updates the registry to Failed, sweeps dependent Planned claims, no shadow fixes. Use when tools/run.py exits 1, a claim fails its gates, or an experiment is terminal-negative although the mechanism is sound.

67 1mo ago A 63 tokens

parallel-workers

04

agentic-commerce-lab/pawl

Skill Claude CodeCodex

Coordinates parallel agent sessions and git worktrees for verification work without colliding on registry.csv or shared config. Use when launching multiple background workers, parallel verification waves, worktree isolation, or merging claim branches.

67 1mo ago A 44 tokens

plan-fact-check

05

agentic-commerce-lab/pawl

Skill Claude CodeCodex

Fact-checks plans and architecture claims against registry.csv, claim lastrun.json evidence, and real code. Use when analyzing plans, verifying strategy documents, judging if a claim exists, checking Planned vs Verified status, or answering "does the code actually match this plan?".

67 1mo ago A 58 tokens

project-startup

06

agentic-commerce-lab/pawl

Skill Claude CodeCodex

Reading map for substantive work — which big-picture and status docs to load before coding, verifying, or analyzing plans. Use when starting substantive edits, exploring architecture, onboarding to the repo, or before touching core modules.

67 1mo ago A 47 tokens

verification-memory

07

agentic-commerce-lab/pawl

Skill Claude CodeCodex

Queries the generated verification memory (tools/memory.py) — claims (ground truth) + plans (proposals), research fronts, per-claim dossiers, plan-to-claim links, BM25 search. Use when asking what was already tried, what plans exist for a topic, claim neighborhood, or before registering a new claim.

67 1mo ago A 69 tokens