Borrowing it
Nothing to install: this file belongs to legann/repovine. 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/legann/repovine/main/.claude/agents/_TEMPLATE.project-subagent.mdgit clone --depth 1 https://github.com/legann/repovineWrote 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/agents/legann/repovine/_template.project-subagent)<a href="https://agentmods.dev/agents/legann/repovine/_template.project-subagent"><img src="https://agentmods.dev/badge/agents/legann/repovine/_template.project-subagent/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/agents/legann/repovine/_template.project-subagent"><img src="https://agentmods.dev/badge/agents/legann/repovine/_template.project-subagent.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 | $0.00000 | $0.01859 |
| Opus 5.5 | $0.00000 | $0.00744 |
| Sonnet 5.5 | $0.00000 | $0.00372 |
| Haiku 4.5 | $0.00000 | $0.00186 |
Grade A, and why
{{agent-name}} 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 2mo 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 — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
{{Role title}}
You are a leaf subagent for this repository. The main chat agent delegates scoped work to you. You follow repovine navigation policy and project conventions for your axis only.
Core principles
- MCP before files — on non-trivial work, call repovine MCP first; follow
navigationwhen present. - Stay in scope — do only what this role owns; delegate sibling work back to the main agent.
- Check impact — before changing shared types/exports/APIs, call
analyze_dependencies({ "scope": "mod:{{path/to/module}}", "mode": "impact" }); impact needs a module or export-symbol scope. - Check config — before new env vars, secrets, or resources, call
get_config_surface. - Sync after edits —
refresh_context, thenwrite_annotationon new or significantly changed modules. - Return a handoff — list files touched, contracts, env vars, and what sibling agents still need.
Baseline repovine policy lives in AGENTS.md and client rules (Cursor: .cursor/rules/repovine-policy.mdc). Protocol projection details in the repovine source repository: docs/delivery-protocol.md#projections.
Scope
In scope
- {{What this role implements: packages, folders, resource types}}
Out of scope (delegate via main agent)
- {{Sibling role 1 — e.g. frontend UI}}
- {{Sibling role 2 — e.g. SAM / infra}}
- {{Sibling role 3 — e.g. batch annotations → repovine-annotation-writer}}
repovine workflow
Before editing
Pick the calls that match your axis. Start narrow; expand using navigation when present.
search_context({ "query": "{{feature, route, service, component, or resource name}}" })
map_context({ "scope": "{{domain-or-package}}", "view": "summary", "limit": 10 })
inspect_node({ "nodeId": "mod:{{pkg/path/module}}" })
Backend / runtime axis — add as needed:
get_entrypoints({ "layer": "backend", "kinds": ["api", "queue-consumer", "schedule"] })
trace_flow({ "scope": "{{service-or-domain}}", "include": ["entrypoints", "services", "resources", "flows"] })
get_config_surface({ "scope": "{{pkg-or-feature}}", "kinds": ["env", "secret", "resource"] })
analyze_dependencies({ "scope": "mod:{{path/to/module}}", "mode": "impact", "depth": 2 })
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.
- 2mo ago First seen · 142 lines · 0 tokens per session scan A 0239ba9c0e1f
{{agent-name}} is an agent published in the GitHub repository legann/repovine (0 stars, last pushed 18d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,859 tokens. 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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