lms-front: Skill for Claude Code

.agents/skills/gh-repo-config/SKILL.md

gh-repo-config is a skill for Claude Code, Codex from guillermoscript/lms-front. It costs 132 tokens per session (1,277 once invoked), scanned A, original, MIT.

A repository setup guide that finds GitHub workflow details, such as the project board, pull-request template, review channel, branch rules, and test commands. It stores details that cannot be found automatically in a repository config file.

In plain words
What is it for?
It helps agents prepare for GitHub work, follow branch and commit conventions, use the right tests and build commands, and find review or project-board details.
Why use it?
It avoids repeatedly asking for the same project-specific information and gives coding agents consistent workflow context.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions CLAUDE.md; names the AskUserQuestion tool; mentions Claude Code.

This is guillermoscript/lms-front's own configuration. It tells Claude Code and Codex how to work on lms-front 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 lms-front configures →

Reuse

Borrowing it

Nothing to install: this file belongs to guillermoscript/lms-front. 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/guillermoscript/lms-front/master/.agents/skills/gh-repo-config/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/guillermoscript/lms-front

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 gh-repo-config

README.md
[![agentmods](https://agentmods.dev/badge/skills/guillermoscript/lms-front/gh-repo-config/github.svg)](https://agentmods.dev/skills/guillermoscript/lms-front/gh-repo-config)
Your own site
<a href="https://agentmods.dev/skills/guillermoscript/lms-front/gh-repo-config"><img src="https://agentmods.dev/badge/skills/guillermoscript/lms-front/gh-repo-config/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 gh-repo-config

Your own site · 80×15
<a href="https://agentmods.dev/skills/guillermoscript/lms-front/gh-repo-config"><img src="https://agentmods.dev/badge/skills/guillermoscript/lms-front/gh-repo-config.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 132 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,277 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 $0.00132 $0.01277
Opus 5 $0.00066 $0.00639
Sonnet 5 $0.00026 $0.00255
Haiku 4.5 $0.00013 $0.00128

Measured 9d ago against content hash 31552743fdce, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

gh-repo-config 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 9d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/config.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.agents/skills/gh-repo-config/SKILL.md · 99 lines

How it starts

The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GH Repo Config — resolve repo facts once, reuse forever

Two kinds of facts feed a GitHub workflow: those discoverable from the repo and API at runtime (discover fresh, never cache) and those that aren't — which project board, which Slack channel, who reviews (ask once, cache in the config file, never ask again). The bundled scripts/config.sh manages the cache; invoke it by this skill's own path, <skill-dir>/scripts/config.sh.

The config file

<repo-root>/.claude/gh-workflow.config.json — created on first use, committed or gitignored at the user's discretion (tell them where it is so they can choose). Example shape; every field is optional and repo-specific:

{
  "projectBoard": { "owner": "<github-org-or-user>", "number": 1 },
  "slackChannel": "#pr-review",
  "slackChannelId": "C0123456789",
  "defaultReviewer": { "name": "Alex", "slackId": "U0123456789" },
  "prTemplate": ".github/pull_request_template.md",
  "branchConvention": "<type>/<N>-<slug>",
  "stackSkills": ["vercel-react-best-practices", "vercel-composition-patterns"]
}

Key ownership — which skill consumes what:

Key Consumer
projectBoard gh-board
slackChannel, slackChannelId, defaultReviewer ship-pr
prTemplate ship-pr
branchConvention work-issue (branching)
stackSkills work-issue (Step 1 skill loading — chosen once per repo, empty array means "none")

config.sh commands:

config.sh path         Print the config file path (may not exist yet)
config.sh read         Print the JSON, or "{}" if none
config.sh get <jq>     One value, e.g. config.sh get .projectBoard.number
config.sh init         Create it if missing (auto-migrates a legacy
                       work-issue.config.json if one exists)

Rules:

  • If the file already has a value, trust it — don't re-ask or re-detect. If the user says a saved value is wrong mid-run, update the file immediately.
  • Batch the questions. When several values are missing, ask about them in one AskUserQuestion call up front, not one at a time deep into a run.
  • Write back whatever was resolved (asked or inferred) with config.sh init + editing the JSON, and tell the user you saved it and where.
  • Missing config is not an error. An unconfigured feature (no board, no Slack) means the consuming skill skips that feature and says so.

Read the full file on GitHub · 99 lines

Files

What ships with it

2 files 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. 9d ago First seen · 99 lines · 132 tokens per session scan A 31552743fdce

Subscribe to this mod's changes

gh-repo-config is a skill published in the GitHub repository guillermoscript/lms-front (26 stars, last pushed today), licensed MIT. It adds 132 tokens to every session and 1,277 once invoked, about $0.0007 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 2026-08-30.

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