claudecodex

axiom-forge

Evidence into insight. Insight into verified work. Research skills and Pstack in one portable agent toolkit.

29 on GitHubby xinhi6716v2.0.0-rust.1MITupdated 3 days agoProductivity
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Plugin axiom-forge from marketplace axiom-forge in xinhi6716/axiom-atropos. Commands read from the repo's manifest — 3 days ago.

This plugin runs code on your machine — it starts local MCP servers. The exact commands are listed below; read them before installing.

What it installs

Skills (69)

  • reproduce-and-fix-issues

    Reproduce triaged Slack bugs through a configured app-control adapter, verify existing fixes, and open a bounded draft pull request only after before-and-after proof. Use only from the configured Benny repro automation.

  • setup-benny

    Configure Benny and prepare its triage and repro automations. Use when installing Benny or changing its Slack, tracker, repository, routing, control, model, or budget settings.

  • triage-issue-reports

    Triage Slack issue reports with one thread-only verdict, evidence review, cause-aware routing, tracker dedupe, and fail-closed ticket creation. Use only from the configured Benny triage automation.

  • architect

    Sketch types, signatures, and module structure before code, then stay

  • arena

    Spawn N parallel candidates at the same task, pick a base, graft the

  • automate-me

    Use for "automate me", "create/update/refresh my -mode skill", "turn/capture

  • benchmark-checklist

    Vet a perf measurement (limiter, tuning, limits, errors, repeatability,

  • blast-radius

    Find what a change could break somewhere else before it ships, beyond

  • bro

    Restate the last message in plain human language, with no jargon.

  • codex-research

    Conduct question-driven literature research to explore a field, refine

  • correct

    Find the mistakes agents keep repeating in this repo and make each one

  • create-formal-verification-skill

    Generate a project-local skill that formally verifies the code where

  • create-verification-skill

    Generate a project-local verification skill that drives your app the

  • figure-it-out

    Design an auditable playbook when no narrower one fits: a large migration,

  • god-mode

    Grant a wish on the current project. The axiom-forge dispatcher sends Codex workers to do the work, and Gemini rewrites their reports in plain language. Needs Claude Code with the axiom-bridge MCP server. Invoke as /god-mode <wish>.

  • how

    Use for "how does X work", code walkthroughs before changing something,

  • hypothesis-generation

    Formulates evidence-bounded scientific questions, candidate hypotheses,

  • in-your-own-words

    Restate in your own words what you think the user's goals are and what

  • interrogate

    Use for "interrogate", "adversarial review", "multi-model review", "challenge

  • ketchup-video

    Catch the user up like /ketchup, with a short silent video of slides

  • ketchup

    Catch the user up on what changed in this chat since their last message,

  • literature-review

    Conducts systematic, scoping, and narrative literature reviews using

  • maintain-formal-verification-skill

    Bring a project''s formal verification back in line with the code after

  • maintain-verification-skill

    Periodic pass that keeps a project''s verification skill and feature

  • make-bot-ui

    Use when building a custom UI (page, dashboard, buttons) that should

  • no-comments

    Spawn Comment Sicko, fix accepted findings, and offer encodings for claimed

  • poteto-help

    Guides users through pstack setup, /poteto-mode, and picking the skill,

  • poteto-mode

    poteto's agent style for concise, detailed responses, deliberate subagents,

  • principle-attack-the-premise

    Apply when two or more fixes that share one premise have failed the same

  • principle-boundary-discipline

    Apply when wiring validation, error handling, or framework adapters.

  • principle-build-the-lever

    Apply to any non-trivial work, not just bulk work: edits, migrations,

  • principle-encode-lessons-in-structure

    Apply when you catch yourself writing the same instruction a second time,

  • principle-exhaust-the-design-space

    Apply when facing a novel UI interaction or architectural decision with

  • principle-experience-first

    Apply when product, UX, or feature-scope tradeoffs come up. Choose user

  • principle-explain-the-number

    Apply before you trust, report, or act on a number you measured: a speedup,

  • principle-fix-root-causes

    Apply when debugging. Trace each symptom back to the first place the

  • principle-foundational-thinking

    Apply before writing logic: choosing core types and data structures,

  • principle-guard-the-context-window

    Apply when context is filling up: large outputs, long files, repeated

  • principle-laziness-protocol

    Apply when refactoring, evaluating diff size, or tempted to add abstractions,

  • principle-make-operations-idempotent

    Apply when designing commands, lifecycle steps, or processing loops that

  • principle-migrate-callers-then-delete-legacy-apis

    Apply when introducing a new internal API while old callers still exist.

  • principle-minimize-reader-load

    Apply when reviewing or shaping code that's hard to trace. Count layers

  • principle-model-the-domain

    Apply when writing stateful logic, or when code branches a lot or repeats

  • principle-never-block-on-the-human

    Apply when tempted to ask 'should I do X?' on reversible work.

  • principle-outcome-oriented-execution

    Apply during planned rewrites and migrations with explicit phase boundaries.

  • principle-prove-it-works

    Apply after completing a task, before declaring done. Verify against

  • principle-redesign-from-first-principles

    Apply when integrating a new requirement into an existing design.

  • principle-separate-before-serializing-shared-state

    Apply when concurrent actors might write to the same file, branch, key,

  • principle-sequence-verifiable-units

    Apply to multi-step work (sweeps, migrations, runs of similar edits)

  • principle-subtract-before-you-add

    Apply when sequencing an addition, refactor, or rewrite. Remove dead

  • principle-test-behavior-not-implementation

    Apply when you write, change, or keep a test. Assert what the code's

  • principle-type-system-discipline

    Apply when designing types, reviewing a function signature, or writing

  • recall

    Reconstruct your recent working context from your own chat history, live

  • reflect

    Spawn three parallel review subagents over the active transcript, surface

  • research-suite

    Coordinate scientific literature research, hypothesis design, statistics, evidence critique and iterative research with the bundled scientific skills and Pstack. Use for a scientific project spanning these activities or an explicit research-suite request; select only the workflows needed.

  • rsi-anything

    Use RSI-Anything as a reasoning framework for iterative scientific research: propose alternatives, state predictions, compare external feedback, and retain supported improvements. Use for multi-round research or explicit RSI requests. No model deployment by default.

  • scientific-critical-thinking

    Evaluates scientific claims and evidence quality. Applies to experimental

  • setup-pstack

    Configure which models pstack uses per role and at what reasoning budget.

  • sharpen

    Make a task deeper, not bigger, then rewrite the prompt. Use for /sharpen.

  • show-me-your-work

    Keep a reviewable decision trail for long-running or unattended work:

  • statechart

    Draw how any system moves between states, such as a product flow, a protocol,

  • statistical-analysis

    Guided statistical analysis for research data - test selection, assumption

  • swarm

    Fan out N parallel workers, drain them, and return one report. Use for

  • tdd

    Use only when the user explicitly asks for TDD, a failing test, or a

  • teach

    Explain a body of work plainly so a person actually understands it. Runs

  • technical-writing

    Layered technical-writing standard: Diátaxis structure, Google developer

  • typescript-best-practices

    TypeScript best practices. Use when reading or editing any .ts or .tsx

  • unslop

    Cut AI tells from any writing.

  • why

    Use for 'why does X work this way', 'why we picked Y', design rationale,

Subagents (2)

  • dispatcher

    Carries out a wish on a codebase by splitting it into Codex worker units, dispatching each through the axiom bridge, verifying the results and reporting back. Give it the wish and the project's absolute directory.

  • memory-keeper

    After a wish is done, distills its verified units into long-run memory for later briefs and adds one line to the project's history. Give it the orch store path, the program slug, the project's absolute directory and the wish.

MCP servers (1)

  • axiom-bridge

    runs: ${CLAUDE_PLUGIN_ROOT}/bin/atropos bridge

View source on GitHub

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