fr-execute

fr-execute is a skill for Claude Code, Codex from derio-net/super-fr. It costs 27 tokens per session (1,310 once invoked), scanned A, original, MIT.

Instructions for carrying out one planned phase of an agent-based coding task.

In plain words
What is it for?
Use it when implementing a specific phase from a local plan or an issue. A pull request is a proposed code change for review.
Why use it?
It turns a plan assignment into a defined implementation workflow, including how to find the assignment and format the resulting pull request.

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/derio-net/super-fr/fr-execute
Any agent
npx skills add derio-net/super-fr --skill fr-execute
Clone the repo
git clone --depth 1 https://github.com/derio-net/super-fr

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 fr-execute

README.md
[![agentmods](https://agentmods.dev/badge/skills/derio-net/super-fr/fr-execute.svg)](https://agentmods.dev/skills/derio-net/super-fr/fr-execute)
Your own site
<a href="https://agentmods.dev/skills/derio-net/super-fr/fr-execute"><img src="https://agentmods.dev/badge/skills/derio-net/super-fr/fr-execute.svg" alt="Measured on agentmods" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,310 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 $0.00027 $0.01310
Opus 5 $0.00014 $0.00655
Sonnet 5 $0.00005 $0.00262
Haiku 4.5 $0.00003 $0.00131

Measured 3d ago against content hash 8433038d8b83, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

fr-execute 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 3d 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.

.hermes/skills/fr/fr-execute/SKILL.md · 121 lines

How it starts

The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.

fr-execute

Implements a single phase from a plan.

Announce at start: "I'm using fr-execute to implement this phase."

Mode selection

Input Mode
Issue URL/number (dispatch repo) Dispatched: read assignment from Issue body — it embeds the spec link, plan _prose.md, and phase NN.yaml inline (repo checkout stays the source of truth)
(plan_dir, phase number) Local: direct arguments

PR format (unified)

When creating the PR for an agentic phase:

  • Title: [{owner}/{repo}] {slug} · Phase {n}/{total} · {phase_title} — matches the Issue title shape so VK / GH / PR surfaces align.
  • Body: first content block is the tracking block copied verbatim from the Issue body (the 📦 Repo: / 📋 Plan: / … lines plus the **Goal (from plan):** paragraph). Then proceed with your PR summary.

The fr pickup output below provides the canonical PR title template.

Label lifecycle (no manual transition verbs in v2)

The Issue moves: fr:ready → fr:in-progress → fr:pr-ready → closed. v2 has no manual transition verbs — every label flip is derived from what the renderer can observe on the Issue plus its linked PRs:

  • fr:ready: the phase has a tracking_issue but no assignee, no draft PR, and no open non-draft PR.
  • fr:in-progress: the Issue has an assignee OR a draft linked PR.
  • fr:pr-ready: an open non-draft, non-merged linked PR exists.
  • closed: state.completion.at is set on the phase AND a merged PR is observed AND no open linked PR remains (per _phase_complete in render.py).

The fr apply step at the end of the phase pushes whichever transitions the renderer projects from current GitHub state. To trigger fr:in-progress, assign yourself to the Issue (or open a draft PR); to trigger fr:pr-ready, take the PR out of draft.

Procedure

  1. Get phase scope:
    fr pickup <plan-dir> --phase N
    
    Output is markdown: phase title, dependency reminder, PR title template, tasks + steps, and a pointer to _prose.md for plan-level context. The Depends on: line surfaces blockers — if any blocker phase is not yet Complete, stop and report.

Read the full file on GitHub · 121 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 3d ago First seen · 121 lines · 27 tokens per session scan A 8433038d8b83

Subscribe to this mod's changes

fr-execute is a skill published in the GitHub repository derio-net/super-fr (1 stars, last pushed 3d ago), licensed MIT. It adds 27 tokens to every session and 1,310 once invoked, about $0.0001 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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