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formax: Skill for Codex

.codex/skills/formax-rework-convergence-workflow/SKILL.md

formax-rework-convergence-workflow is a skill for Codex from yusifeng/formax. It costs 60 tokens per session (574 once invoked), scanned A, original, MIT.

A cleanup workflow for code that has been repeatedly revised and may contain duplicate logic, inconsistent style, or tangled structure. Its aim is to improve clarity while preserving behavior.

In plain words
What is it for?
Use it for a focused cleanup pass after back-and-forth edits, especially to remove redundancy, dead code, conflicting patterns, or unclear state ownership.
Why use it?
It helps reduce accumulated rework without quietly adding features or changing what the code does.

Skill for Codex

Written for Codex: installed under .codex/.

This is yusifeng/formax's own configuration. It tells Codex how to work on formax itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything formax configures →

not rated 184repo +8 3mo ago A scan SkillSpector: pass 60 tokens original MIT
View source ↗ yusifeng/formax
Reuse

Borrowing it

Nothing to install: this file belongs to yusifeng/formax. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/yusifeng/formax/main/.codex/skills/formax-rework-convergence-workflow/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/yusifeng/formax

Made for: Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for formax-rework-convergence-workflow

README.md
[![agentmods](https://agentmods.dev/badge/skills/yusifeng/formax/formax-rework-convergence-workflow/github.svg)](https://agentmods.dev/skills/yusifeng/formax/formax-rework-convergence-workflow)
Your own site
<a href="https://agentmods.dev/skills/yusifeng/formax/formax-rework-convergence-workflow"><img src="https://agentmods.dev/badge/skills/yusifeng/formax/formax-rework-convergence-workflow/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for formax-rework-convergence-workflow

Your own site · 80×15
<a href="https://agentmods.dev/skills/yusifeng/formax/formax-rework-convergence-workflow"><img src="https://agentmods.dev/badge/skills/yusifeng/formax/formax-rework-convergence-workflow.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 574 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00060 $0.00574
Opus 5.5 $0.00024 $0.00230
Sonnet 5.5 $0.00012 $0.00115
Haiku 4.5 $0.00006 $0.00057

Measured 2mo ago against content hash 4a1e0ef95160, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

formax-rework-convergence-workflow 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 2mo ago.

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.

.codex/skills/formax-rework-convergence-workflow/SKILL.md · 92 lines

How it starts

The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Formax Rework Convergence Workflow

Purpose

Use this workflow to clean up code after multiple back-and-forth edits.

Primary goal:

  • Reduce redundancy
  • Restore structure clarity
  • Keep behavior unchanged unless user explicitly asks for behavior changes

Trigger Phrases

Run this skill when the user says:

  • 返工收敛 (recommended keyword)
  • cleanup-pass
  • "帮我收敛一下这波改动"
  • "把返工后冗余代码清掉"

Scope Rules

  1. No feature expansion during convergence.
  2. No broad redesign unless user explicitly asks.
  3. Prefer local cleanup in touched files first.
  4. Preserve existing runtime behavior and UI semantics.

Workflow

  1. Freeze Intent
  • Restate the target in one sentence.
  • Identify "must keep" behavior before editing.
  1. Build Cleanup Map
  • Inspect current diff and touched files.
  • Group issues into:
    • duplicate logic
    • dead code / unreachable branches
    • conflicting style patterns
    • state ownership confusion
    • temporary patches that became permanent
  1. Rank by Risk and Value
  • High priority:
    • behavior-risky duplication
    • conflicting state sources
    • repeated conditional branches causing drift
  • Medium priority:
    • naming inconsistencies
    • repeated style tokens/classes
  • Low priority:
    • cosmetic micro-cleanups
  1. Apply Minimal Convergence Edits
  • Collapse duplicated branches into one shared path.
  • Remove dead paths only when replacement path is verified.
  • Keep interfaces stable.
  • Keep patch size small and reviewable.
  1. Validate
  • Run targeted type-check/tests for changed scope.
  • If UI is touched, do a quick manual visual sanity check path.
  • If validation is blocked, report the exact blocker and impact.
  1. Report Back in Convergence Format
  • what was removed
  • what was unified
  • what behavior stayed the same
  • residual risks

Guardrails

  • Do not hide uncertainty: explicitly call out assumptions.
  • Do not ship "temporary fixes" silently.
  • If a temporary mitigation is unavoidable, mark it and define removal conditions.
  • Never mix unrelated cleanup in the same pass.

Read the full file on GitHub · 92 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. 2mo ago First seen · 92 lines · 60 tokens per session scan A 4a1e0ef95160

Subscribe to this mod's changes

formax-rework-convergence-workflow is a skill published in the GitHub repository yusifeng/formax (184 stars, last pushed 3mo ago), licensed MIT. It adds 60 tokens to every session and 574 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-30.

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