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/.agents/skills/repovine-refresh/SKILL.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/skills/legann/repovine/repovine-refresh)<a href="https://agentmods.dev/skills/legann/repovine/repovine-refresh"><img src="https://agentmods.dev/badge/skills/legann/repovine/repovine-refresh/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/legann/repovine/repovine-refresh"><img src="https://agentmods.dev/badge/skills/legann/repovine/repovine-refresh.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 | $0.00015 | $0.00908 |
| Opus 5 | $0.00008 | $0.00454 |
| Sonnet 5 | $0.00003 | $0.00182 |
| Haiku 4.5 | $0.00002 | $0.00091 |
Grade A, and why
repovine-refresh 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 8d 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.
repovine-refresh
Refresh the repovine syntax index after code changes, or build it the first time for this repository.
The syntax index covers files, modules, imports, exports, entrypoints, config names, and resource surfaces.
Instructions
First, confirm the MCP graph is ready:
get_build_status({})
If result.status is "building" or "pending", do not call refresh_context — the graph is already being built. Call get_build_status({ "waitSec": 45 }) once to long-poll. If it still returns building, report stage, remainingStages, pct, donePackages/totalPackages, and stageEtaSec (current stage only), then stop. Do not infer time until ready from the stage ETA or use ETA thresholds to decide whether to wait.
If status:"ready", call refresh_context:
refresh_context({})
If you changed repovine.config.json, reload the MCP runtime config while refreshing:
refresh_context({ "reloadConfig": true })
Changing repovine.domains.json is picked up by a normal refresh; using reloadConfig: true is harmless when both files changed.
Report:
- nodes/edges before and after
searchTokens(token + annotation index size), andsemanticSearch.status, which reportsdisabledwhilesemantic_search_embeddingsis off- whether config was reloaded, when requested
domainsSuggestions.count(anddeclinedHidden) — follow up per Domains suggestions below- whether orphaned annotations were detected
- if orphans exist, offer cleanup with
refresh_context({ "cleanupOrphans": true })(scope withorphanNodeType, default all)
Domains suggestions
When refresh_context returns domainsSuggestions.count > 0, the domains advisor found resources or packages worth a domain/exclude decision. Never auto-apply:
- Call
suggest_domains_config({})(read-only): it returns the additions, amergedConfigpreview (accept = exclude), and akeepConfigpreview when keepable (keep = committedinfra.keepmarker). - Show the diff to the user and get approval.
- On approval, write the chosen preview to
repovine.domains.json, thenrefresh_context({})to pick it up. - To dismiss instead, call
decline_advisory({ "kind": "domains-config", "ids": ["suggestion-id"] })(or"all": true); declined ids persist in.repovine/onboarding-state.jsonand stop resurfacing.
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.
- 8d ago First seen · 67 lines · 15 tokens per session scan A 8f52829f3b30
repovine-refresh is a skill published in the GitHub repository legann/repovine (0 stars, last pushed 1mo ago), licensed MIT. It adds 15 tokens to every session and 908 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 2026-08-31.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…