ignite

A guided workflow for turning an unclear or messy task into a small tested result and a recorded next step.

In plain words
What is it for?
Use it to inspect the current project state, identify blockers, create an initial result, test it, fix failures, and save progress.
Why use it?
It gives you a repeatable way to move from uncertainty to action when you do not know which command or approach to use.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/megaprompting/torque-loop/ignite
Any agent
npx skills add Megaprompting/torque-loop --skill ignite
Clone the repo
git clone --depth 1 https://github.com/Megaprompting/torque-loop

Made for: Claude Code, Codex.

Per session 73 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,703 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00073 $0.01703
Opus 5 $0.00036 $0.00851
Sonnet 5 $0.00015 $0.00341
Haiku 4.5 $0.00007 $0.00170

Measured yesterday against content hash 80e8d0b048e1, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ignite 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 yesterday.

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.

skills/ignite/SKILL.md · 131 lines

How it starts

The opening of the file, as written. The whole thing — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/ratchet:ignite — the master loop

Ambiguity in. Artifact out. Failure tested. State advanced.

This is the command you run when you don't know which command to run. It drives one full turn of the ratchet: from vague input to a tested artifact and a serialized next move. Do not stop at analysis. The turn is not complete until an artifact exists and state is written.

Step 0 — Load state

Run this first (via Bash) so you build on the existing session, not a blank one:

ratchet init
ratchet status
ratchet snapshot repo

If ratchet is not on PATH, call the plugin-local CLI as node "<plugin root>/bin/ratchet". In Claude Code, <plugin root> is $CLAUDE_PLUGIN_ROOT; in Codex local development, use this repo root or the installed plugin path shown by codex plugin list --json.

Step 1 — Aperture Read (meter the loop)

Before running the pipeline, score how much of it this task earns. Rate five uncertainty dimensions 0–2 and let the CLI set the depth:

ratchet score aperture '{"ambiguity":_,"terrain":_,"taste":_,"blastRadius":_,"reversibility":_}'
  • ambiguity — goals / acceptance criteria / constraints unclear?
  • terrain — codebase / domain / tooling unfamiliar?
  • taste — would the user recognize the right answer only once shown?
  • blastRadius — could it hit data, security, production, many files/users?
  • reversibility — hard to undo or validate?

The result names an aperture and the exact ratchet sequence to run:

Level Score Run
A0 Snap 0–2 build → verify → compile — do it, prove it, record it.
A1 Narrow 3–4 lock → build → verify → compile.
A2 Working 5–6 lock → cut → build → attack → patch → verify → compile — the pipeline below.
A3 Wide 7–8 lock → map → auction → cut → decide → build → attack → patch → verify → compile — map the fog before you build.
A4 Max 9–10 lock → map → cut → decide → compile, then STOP — produce options, do not build until constraints are locked.

Read the full file on GitHub · 131 lines

Changes

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.

  1. yesterday First seen · 131 lines · 73 tokens per session scan A 80e8d0b048e1

Subscribe to this mod's changes

ignite is a skill published in the GitHub repository Megaprompting/torque-loop (5 stars, last pushed 1mo ago), licensed MIT. It adds 73 tokens to every session and 1,703 once invoked, about $0.0004 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 2026-08-31.

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