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.
npx agentmods add skills/haocn-ops/git-top/git-top-project-selectionnpx skills add haocn-ops/git-top --skill git-top-project-selectiongit clone --depth 1 https://github.com/haocn-ops/git-topWrote 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/haocn-ops/git-top/git-top-project-selection)<a href="https://agentmods.dev/skills/haocn-ops/git-top/git-top-project-selection"><img src="https://agentmods.dev/badge/skills/haocn-ops/git-top/git-top-project-selection.svg" alt="Measured on agentmods" 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 | $0.00063 | $0.00809 |
| Opus 5 | $0.00032 | $0.00404 |
| Sonnet 5 | $0.00013 | $0.00162 |
| Haiku 4.5 | $0.00006 | $0.00081 |
Grade A, and why
git-top-project-selection 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.
How it starts
The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Git.Top Project Selection
Use Git.Top as a public, no-auth project-intelligence source. Prefer the production REST API when MCP is unavailable; use the five-tool core MCP profile when it is connected.
Decision Workflow
- Classify the request as discovery, known-project inspection, recommendation, alternatives, comparison, or guided workflow.
- Check
https://git.top/api/trustbefore making a high-confidence production recommendation. - Choose the shortest path:
- Discovery:
GET /api/search - Known project:
GET /api/project/{owner}/{repo} - Constrained recommendation:
POST /api/recommend - Known replacement target:
GET /api/alternatives/{project} - Named shortlist:
POST /api/compare - Ambiguous or multi-step decision:
POST /api/workflow
- Discovery:
- Add
require_d1=truewhenever seed fallback must fail closed. - Inspect the leading candidates before answering. Preserve
metadata.source, evidence, confidence, caveats, and verification timestamps. - Compare at least two credible candidates when the user is making an adoption decision, unless only one candidate matches all hard constraints.
Read references/api-contract.md when constructing REST requests, interpreting errors, or formatting a final answer.
MCP Path
When Git.Top MCP is connected, prefer https://git.top/mcp/core and use only shared tool behavior:
- Call
get_agent_workflowfor ambiguous or multi-step selection. - Call
search_projectsorrecommend_projectfor candidate generation. - Call
get_projectbefore making factual claims about a candidate. - Call
compare_projectsbefore a final choice between named candidates. - Parse
result.content[0].textas JSON before reading fields.
Use the full endpoint https://git.top/mcp only for alternatives, graph, score, quality, benchmark, governance, or GRP tools outside the core profile.
Trust Rules
- Treat
metadata.source=d1as the required source for high-confidence production claims. - Treat
metadata.source=seedas fallback evidence and disclose that limitation. - Respect
/api/trustdecisions: answer directly onallow, disclose limitations oncaution, and fail closed for high-confidence recommendations onblock. - Do not collapse quality score, Git.Top score, and data trust score into one claim.
- Treat collection repositories as resource hubs, not executable project replacements.
- Preserve
metadata.snapshot_idacross a multi-call decision. Restart dependent calls when the snapshot changes materially.
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.
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.
- 2d ago First seen · 67 lines · 63 tokens per session scan A 49c26f72161f
git-top-project-selection is a skill published in the GitHub repository haocn-ops/git-top (0 stars, last pushed 3d ago), licensed MIT. It adds 63 tokens to every session and 809 once invoked, about $0.0003 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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