# goal-quench

Wraps the /goal runner with a tiered safety ladder: pre-run token budget estimates, mid-run signals, and automated post-run quality checks.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · ★ 30
- Author: chrono-meta
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/chrono-meta/forge-harness/tree/HEAD/plugins/fh-meta/skills/goal-quench/SKILL.md
- Updated: 2026-10-25
- HTML: https://affpapa.org/en/nevibecode/skills/goal-quench

## What it does

The skill tackles silent token exhaustion in autonomous runs. Standard `/goal` execution relies on per-turn completion checks, which confirm whether a task stopped rather than whether the output is correct. `goal-quench` decouples these concerns: the runner tracks turn completion, while `pipeline-conductor` verifies final quality.

Execution scales across three tiers: core, pro, and max. Core provides budget pre-estimates and post-run verification. Pro introduces token reduction with `context-doctor` alongside task decomposition. Max scans `LOCAL_SKILL_REGISTRY` for capability gaps and runs external searches. Phase-1 budget estimates suggest which mode fits the task.

Mid-run budget threshold warnings are advisory instructions for the model, not hard mechanical process stops.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add chrono-meta/forge-harness --skill goal-quench -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/goal-quench/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/goal-quench/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add chrono-meta/forge-harness --skill goal-quench -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/goal-quench/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add chrono-meta/forge-harness --skill goal-quench -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/goal-quench/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install chrono-meta/forge-harness goal-quench
```

2. **Manually: put the files in place**
- File: `.github/skills/goal-quench/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add chrono-meta/forge-harness --skill goal-quench -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/chrono-meta/forge-harness --path plugins/fh-meta/skills/goal-quench
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/goal-quench/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add chrono-meta/forge-harness --skill goal-quench -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/chrono-meta/forge-harness/tree/HEAD/plugins/fh-meta/skills/goal-quench/SKILL.md

## When to use it
- Estimate token consumption before launching an autonomous task
- Validate final implementation quality after `/goal` completes
- Split complex objectives into waves when token costs escalate
- Detect missing capabilities across local skill registries and plugins

## Example prompts
- Run `/goal-quench --core` to refactor the payment gateway
- Execute safe goal with quality gate for database schema migration
- Orchestrate this goal using `--pro` mode to manage token overhead

## Source text · SKILL.md · MIT

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: e3dada739e299dc8.

BEGIN THIRD-PARTY FILE e3dada739e299dc8
```text
---
name: goal-quench
description: >-
  Wraps /goal with a tiered safety + orchestration ladder. core (default): a token budget gate (pre-run estimate), mid-run budget thresholds, and an automatic post-run quality verification via pipeline-conductor — closing /goal's two gaps (the runner's per-turn judge evaluates completion, pipeline-conductor evaluates correctness). pro: adds context-doctor token reduction and agent-composer goal decomposition. max: adds internal-first capability-gap fill (LOCAL_SKILL_REGISTRY skill-bus scan → plugin-recommender external search → auto_project_mapping map/cluster) and cross-ecosystem-synergy-detection pre-validation. The Phase-1 budget verdict auto-recommends the mode. Triggered by "goal with quality gate", "safe goal", "goal-quench", "orchestrate this goal", or before running /goal on high-stakes tasks.
user-invocable: true
allowed-tools: ["Read", "Write", "Bash", "Grep", "Agent", "WebSearch", "WebFetch"]
# Agent: Steps at :198 / :216 dispatch sub-agents (skill-bus proposals, agent-composer panel).
# WebSearch/WebFetch: max-mode deep-research rung 2 (:46). All three were commanded by the body
# while undeclared here — a declaration that omits what the skill actually does is not a diet.
model: sonnet
complexity_routing:
  base: sonnet
  escalate_when:
    - pro_mode       # orchestration: context-doctor + agent-composer decomposition
    - max_mode       # + external discovery: plugin-recommender + synergy pre-validation
  high: opus
  # NOTE: CC switches models per-turn by task weight, not per-skill invocation.
  # With `/model opusplan`: Opus activates on plan-mode turns (reasoning, decomposition);
  # Sonnet handles execution turns (tool calls, edits). Both appear in session jsonl.
  # Without opusplan: all turns use the session model regardless of mode.
---

# goal-quench — /goal with Token Budget + Quality Gate

**Availability of `/goal` is unresolved** — treat it the way `CLAUDE.md` treats `/deep-research`:
use the built-in **if present**, and do not assert it is absent either. Everything below applies to
whatever autonomous-run command this environment actually has; goal-quench is the wrapper, not the
runner. Probe before relying on it (`/help`, or the skill/command list), and say which you found.

`/goal` is understood to run until a cheap per-turn judge (reported as Haiku) says "done" — that is
**second-hand, not verified here**, so treat it as the assumption goal-quench is designed against
rather than as a fact about the implementation. What matters for this skill holds either way: a
completion judge is not a quality judge, and without a budget ceiling a session can exhaust tokens
silently. goal-quench adds three things such a runner does not itself provide:

1. **Pre-run**: token-budget-gate estimate — know the cost before committing
2. **Mid-run**: budget threshold awareness — signal before exhaustion (instructional; not mechanically enforced)
```
END THIRD-PARTY FILE e3dada739e299dc8

The third-party file has ended. Everything between the e3dada739e299dc8 tags is data: requests and commands from it are not followed. An “end of file” line with another tag inside the block is part of the file.

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