github-explore

A workflow for deeply examining a GitHub repository, a project hosted on the GitHub code-sharing platform.

In plain words
What is it for?
Use it to report a project’s purpose, structure, technology, design patterns, public interfaces, strengths, weaknesses, maintenance status, and other requested focus areas.
Why use it?
It brings together the repository’s code, documentation, discussions, issues, and pull requests so architectural choices and maintenance risks are easier to understand.

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/afx-team/hebb-mind/github-explore
Any agent
npx skills add afx-team/hebb-mind --skill github-explore
Clone the repo
git clone --depth 1 https://github.com/afx-team/hebb-mind

Made for: Claude Code, Codex.

Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 301 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 $0.00022 $0.00301
Opus 5 $0.00011 $0.00151
Sonnet 5 $0.00004 $0.00060
Haiku 4.5 $0.00002 $0.00030

Measured 2d ago against content hash a3a172c59f2b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

github-explore 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 2d 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.

.agents/skills/github-explore/SKILL.md · 34 lines

What it actually says

GitHub Repo Explorer

Perform a deep analysis of a GitHub repository.

Instructions

  1. Use WebSearch to find the repo's README, documentation, and key discussions
  2. Use the GitHub MCP tool (if available) to:
    • List repo structure and key directories
    • Read core source files
    • Check recent issues and PRs for insights
  3. Analyze and report:
    • Overview: What the project does, star count, maintenance status
    • Architecture: How the codebase is organized, key abstractions
    • Tech Stack: Languages, frameworks, dependencies
    • Design Patterns: Notable patterns and design decisions
    • API Surface: Key public interfaces
    • Strengths: What the project does well
    • Weaknesses/Gaps: Limitations or missing features
  4. If a focus area is specified, go deeper on that aspect
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. 2d ago First seen · 34 lines · 22 tokens per session scan A a3a172c59f2b

Subscribe to this mod's changes

github-explore is a skill published in the GitHub repository afx-team/hebb-mind (50 stars, last pushed 1mo ago), licensed MIT. It adds 22 tokens to every session and 301 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 2026-08-30.