loop-review-skill-until-fixed-point

📁 corygabrielsen/skills 📅 8 days ago
4
总安装量
3
周安装量
#49807
全站排名
安装命令
npx skills add https://github.com/corygabrielsen/skills --skill loop-review-skill-until-fixed-point

Agent 安装分布

mcpjam 3
mistral-vibe 3
claude-code 3
junie 3
windsurf 3
zencoder 3

Skill 文档

Loop Review Skill Until Fixed Point

Run /review-skill on a target document repeatedly until fixed point—when all reviewers return NO ISSUES.

Core Concept

/review-skill <target> --auto
         │
         ▼
    ┌─────────┐
    │ Issues? │
    └────┬────┘
         │
    yes ─┴─ no
     │      │
     ▼      ▼
  repeat   done (fixed point)

Fixed point = the document is both correct AND unambiguous. No reviewer can find anything to flag.


Arguments

Arg Required Description
<target> yes Path to SKILL.md to review

State

max_iterations: 10 # Safety limit
iteration_count: 0 # Current iteration
target: "<from args>" # Target SKILL.md path
history: [] # Minimal: just iteration outcomes

History Entry Schema

Each iteration appends a minimal entry:

- iteration: 1
  fixed_point: false
- iteration: 2
  fixed_point: false
- iteration: 3
  fixed_point: true # All reviewers returned NO ISSUES

The orchestrator does NOT track per-reviewer metrics. That detail stays inside /review-skill where it belongs. This prevents context leak between iterations.


Phase: Initialize

  1. Parse target path from arguments
  2. Set iteration_count = 0
  3. Set max_iterations = 10
  4. Confirm target exists

Phase: Loop

Isolation requirement: Each iteration must be context-isolated. The orchestrator must NOT carry synthesis, triage details, or “recurring theme” narratives between iterations. This prevents context leak that would bias subsequent reviews.

while iteration_count < max_iterations:
    iteration_count += 1

    1. Run: /review-skill <target> --auto
       (This is a FRESH invocation—no prior iteration context)
    2. Capture only the exit status: "fixed point" or "issues remain"
    3. Append to history file: { iteration, fixed_point: bool }
    4. Output: "Iteration {N}: {'fixed point' | 'issues remain'}"
    5. If fixed point → exit loop
    6. Else → continue loop (do NOT summarize or analyze findings here)

The orchestrator is intentionally stateless. All synthesis, triage, and issue-addressing happens INSIDE /review-skill --auto. The orchestrator only observes the outcome.

Exit Conditions

Condition Action
/review-skill reports fixed point Exit with success
iteration_count >= max_iterations Safety limit hit, ask user how to proceed

Phase: Report

Present final state:

## Loop Complete

| Metric              | Value             |
| ------------------- | ----------------- |
| Target              | {target}          |
| Iterations          | {iteration_count} |
| Fixed point reached | yes/no            |

If fixed point reached:

{target} reached fixed point after {N} iterations.

If max iterations hit:

Safety limit reached after {max_iterations} iterations without convergence.


Begin now.