eval-promotion-advice

eval-promotion-advice is a skill for Claude Code, Codex from joinwell52-AI/CodeFlowMu-open. It costs 50 tokens per session (191 once invoked), scanned A, original, MIT.

Guidance for deciding where an evaluation finding should go next, such as a local task, an issue draft, or no immediate action.

In plain words
What is it for?
Use it when an observed problem may need follow-up and you need to recommend a destination while checking public-safety and administrator-approval requirements.
Why use it?
It helps route findings safely without submitting public issues or changing their status without the required approval.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when an observed problem may need follow-up and you need to recommend a destination while checking public-safety and administrator-approval requirements.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/joinwell52-ai/codeflowmu-open/eval-promotion-advice
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.

Any agent
npx skills add joinwell52-AI/CodeFlowMu-open --skill eval-promotion-advice
Clone the repo
git clone --depth 1 https://github.com/joinwell52-AI/CodeFlowMu-open

Made for: Claude Code, 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 eval-promotion-advice

README.md
[![agentmods](https://agentmods.dev/badge/skills/joinwell52-ai/codeflowmu-open/eval-promotion-advice/github.svg)](https://agentmods.dev/skills/joinwell52-ai/codeflowmu-open/eval-promotion-advice)
Your own site
<a href="https://agentmods.dev/skills/joinwell52-ai/codeflowmu-open/eval-promotion-advice"><img src="https://agentmods.dev/badge/skills/joinwell52-ai/codeflowmu-open/eval-promotion-advice/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 eval-promotion-advice

Your own site · 80×15
<a href="https://agentmods.dev/skills/joinwell52-ai/codeflowmu-open/eval-promotion-advice"><img src="https://agentmods.dev/badge/skills/joinwell52-ai/codeflowmu-open/eval-promotion-advice.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 191 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.
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 $0.00050 $0.00191
Opus 5 $0.00025 $0.00096
Sonnet 5 $0.00010 $0.00038
Haiku 4.5 $0.00005 $0.00019

Measured 8d ago against content hash f032d98bb851, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

eval-promotion-advice 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 8d 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.

skills/eval-promotion-advice/SKILL.md · 36 lines

What it actually says

EVAL Promotion Advice

When to use

Use when an observation may need follow-up beyond the EVAL file.

Rules

  • Suggest target only.
  • Run safe-public-draft thinking before public issue drafts.
  • Keep admin_approved false by default.
  • Require ADMIN for public submission.

Required output

Use docs/skills/eval-playbook/promotion-advice.md.

Forbidden actions

  • Do not submit GitHub issues.
  • Do not bypass ADMIN.
  • Do not archive/delete/move lifecycle.

Minimal example

Target: local_task
Reason: project docs need update
Required authority: PM
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. 8d ago First seen · 36 lines · 50 tokens per session scan A f032d98bb851

Subscribe to this mod's changes

eval-promotion-advice is a skill published in the GitHub repository joinwell52-AI/CodeFlowMu-open (2 stars, last pushed 15d ago), licensed MIT. It adds 50 tokens to every session and 191 once invoked, about $0.0003 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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