Borrowing it
Nothing to install: this file belongs to varandrew/moor. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/varandrew/moor/main/.agents/skills/gitnexus-exploring/SKILL.mdgit clone --depth 1 https://github.com/varandrew/moorWrote 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.
[](https://agentmods.dev/skills/varandrew/moor/gitnexus-exploring)<a href="https://agentmods.dev/skills/varandrew/moor/gitnexus-exploring"><img src="https://agentmods.dev/badge/skills/varandrew/moor/gitnexus-exploring/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.
<a href="https://agentmods.dev/skills/varandrew/moor/gitnexus-exploring"><img src="https://agentmods.dev/badge/skills/varandrew/moor/gitnexus-exploring.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00055 | $0.00953 |
| Opus 5.5 | $0.00022 | $0.00381 |
| Sonnet 5.5 | $0.00011 | $0.00191 |
| Haiku 4.5 | $0.00006 | $0.00095 |
Grade A, and why
gitnexus-exploring 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 20d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- gitnexus-exploring — 100% identical, 2 lines differ
- gitnexus-exploring — 100% identical, 2 lines differ
How it starts
The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Exploring Codebases with GitNexus
When to Use
- "How does authentication work?"
- "What's the project structure?"
- "Show me the main components"
- "Where is the database logic?"
- Understanding code you haven't seen before
Bind the repository first
Step 1 discovers what is indexed; every call after it must say which of those
it means. With one indexed repository, use the examples below as written. With
more than one, pass repo on every call: an omitted repo normally errors,
but under an MCP policy with a configured default it resolves to that default
silently. If you cannot tell which repository is meant, stop and ask. Report
the bound repository and index freshness alongside your explanation.
list_repos is paginated, so page with offset: pagination.nextOffset until
hasMore is false before concluding a repository is absent.
Workflow
1. list_repos {} or READ gitnexus://repos → Discover indexed repos
2. READ gitnexus://repo/{name}/context → Codebase overview, check staleness
3. query({search_query: "<what you want to understand>"}) → Find related execution flows
4. context({name: "<symbol>"}) → Deep dive on specific symbol
5. READ gitnexus://repo/{name}/process/{name} → Trace full execution flow
If step 2 says "Index is stale" → run
node .gitnexus/run.cjs analyzein terminal.
Checklist
- [ ] list_repos {} — bind repo; explicit repo when >1 indexed, ask if ambiguous
- [ ] READ gitnexus://repo/{name}/context
- [ ] query for the concept you want to understand
- [ ] Review returned processes (execution flows)
- [ ] context on key symbols for callers/callees
- [ ] READ process resource for full execution traces
- [ ] Read source files for implementation details
- [ ] State the repository and index freshness with the explanation
Resources
| Resource | What you get |
|---|---|
gitnexus://repo/{name}/context |
Stats, staleness warning (~150 tokens) |
gitnexus://repo/{name}/clusters |
All functional areas with cohesion scores (~300 tokens) |
gitnexus://repo/{name}/cluster/{name} |
Area members with file paths (~500 tokens) |
gitnexus://repo/{name}/process/{name} |
Step-by-step execution trace (~200 tokens) |
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.
- 20d ago First seen · 101 lines · 55 tokens per session scan A f28140cfbdf8
gitnexus-exploring is a skill published in the GitHub repository varandrew/moor (163 stars, last pushed yesterday), licensed Apache-2.0. It adds 55 tokens to every session and 953 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-10-09.
Other skills, from other repositories
debug-optimize-lcp
Guides debugging and optimizing Largest Contentful Paint (LCP) using Chrome DevTools MCP tools. Use this skill whenever the user asks about LCP performance, slow page loads, Core Web Vitals optimization, or wants to understand why their page's main content takes too long to appear. Also use when the user mentions…
systematic-debugging
Use when debugging a failing test, build error, or runtime issue that isn't immediately obvious. Guides a 4-phase root cause analysis instead of random fix attempts.
log-error-digest
Analyze log files to troubleshoot errors, identify peak error periods, and produce error clustering, frequency statistics, and time distribution reports. Supports JSON, syslog, and Nginx formats with automatic detection. Use when a user uploads a .log file and asks to analyze errors, find patterns, debug issues, or…
cwv-optimizer
Diagnose and fix Core Web Vitals issues on AEM Edge Delivery Services pages. Goes deeper than generic CWV advice by understanding EDS-specific performance patterns including the 100KB LCP budget, E-L-D loading phases, block rendering behavior, and third-party script impact. Produces specific fixes for LCP, CLS, and…
incident-response-incident-response
Coordinate production incident triage, mitigation, investigation, recovery, and follow-up. Use when responding to outages or other incidents that require structured operational coordination.
ci-fixer
CI failures - read error, minimal fix, verify.