egapro: Skill for Claude Code

.claude/skills/analyse/SKILL.md

analyse is a skill for Claude Code from SocialGouv/egapro. It costs 48 tokens per session (1,891 once invoked), scanned A, original, Apache-2.0.

An issue-analysis workflow that identifies whether a request is a feature, task, or bug and then invokes the matching planning agents.

In plain words
What is it for?
Use it to analyse GitHub issues or prompts, produce feature plans, architecture notes, or bug analyses, and request approval before posting them.
Why use it?
It gives different kinds of work an appropriate analysis path without changing the project's task-board status.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution. Also seen: reads .claude/ paths; positional $N argument.

This is SocialGouv/egapro's own configuration. It tells Claude Code how to work on egapro 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 egapro configures →

Reuse

Borrowing it

Nothing to install: this file belongs to SocialGouv/egapro. 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/SocialGouv/egapro/alpha/.claude/skills/analyse/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/SocialGouv/egapro

Made for: Claude Code.

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 analyse

README.md
[![agentmods](https://agentmods.dev/badge/skills/socialgouv/egapro/analyse.svg)](https://agentmods.dev/skills/socialgouv/egapro/analyse)
Your own site
<a href="https://agentmods.dev/skills/socialgouv/egapro/analyse"><img src="https://agentmods.dev/badge/skills/socialgouv/egapro/analyse.svg" alt="Measured on agentmods" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,891 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 $0.00048 $0.01891
Opus 5 $0.00024 $0.00945
Sonnet 5 $0.00010 $0.00378
Haiku 4.5 $0.00005 $0.00189

Measured 3d ago against content hash bcbbea083f8b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

analyse 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.

.claude/skills/analyse/SKILL.md · 140 lines

How it starts

The opening of the file, as written. The whole thing — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/analyse

Phase conception de la pipeline. Trois modes auto-détectés :

Mode Trigger Agents invoqués Sortie
epic Issue type Feature, ou prompt « nouvelle feature », « parcours », « ajouter une page X » product-owner (Opus) → architect (Opus) Epic GitHub avec N sous-issues
task Issue type Task, ou prompt « refactor », « migrer », « ajouter un champ X » sans contexte feature architect mode task (Opus) Commentaire ## Analyse architecte posté sur la task
bug Issue type Bug, ou prompt « bug », « cassé », « ne marche pas », « écart figma », « régression » bug-analyst (Opus) Commentaire ## Analyse du bug posté sur le bug

Chaque agent gère lui-même un gate de validation utilisateur explicite avant de poster sur GitHub. L'orchestrateur (toi qui exécutes ce skill) chaîne et ne ré-interroge pas l'utilisateur entre étapes.

Règle absolue : aucun agent conception ne bouge un ticket sur le board. Les transitions To Do → In progress → In review sont la responsabilité de /implement.


Step 0 — Détection du mode

ARG_HEAD="$(echo "$ARGUMENTS" | awk '{print $1}')"
case "$ARG_HEAD" in
  '#'[0-9]*|[0-9]*)
    ISSUE_N="${ARG_HEAD#\#}"
    ;;
  https://github.com/*/issues/*)
    ISSUE_N="$(echo "$ARG_HEAD" | sed -E 's#.*/issues/([0-9]+).*#\1#')"
    ;;
  *)
    ISSUE_N=""
    ;;
esac
EXTRA_CONTEXT="$(echo "$ARGUMENTS" | cut -d' ' -f2-)"

Cas A — issue number fourni

gh issue view "$ISSUE_N" --json number,title,body,issueType,labels,state,comments \
  --jq '{number, title, body, issueType: .issueType.name, labels: [.labels[].name], state, comments: [.comments[] | {author: .author.login, body}]}'

Brancher selon issueType.name :

  • Feature → mode epic. Si l'issue n'a pas encore de sub-issues + ## Analyse PO → sous-mode epic-create (PO va construire from scratch). Sinon → epic-enrich (PO + architect amendent).
  • Task → mode task.
  • Bug → mode bug.
  • Type absent ou autre → demander explicitement à l'utilisateur quel mode utiliser.

Read the full file on GitHub · 140 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. 3d ago First seen · 140 lines · 48 tokens per session scan A bcbbea083f8b

Subscribe to this mod's changes

analyse is a skill published in the GitHub repository SocialGouv/egapro (12 stars, last pushed yesterday), licensed Apache-2.0. It adds 48 tokens to every session and 1,891 once invoked, about $0.0002 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 2026-09-04.

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