Borrowing it
Nothing to install: this file belongs to pgomsan/upv-mcp. 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/pgomsan/upv-mcp/master/.claude/skills/add-mcp-tool/SKILL.mdgit clone --depth 1 https://github.com/pgomsan/upv-mcpWrote 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/pgomsan/upv-mcp/add-mcp-tool)<a href="https://agentmods.dev/skills/pgomsan/upv-mcp/add-mcp-tool"><img src="https://agentmods.dev/badge/skills/pgomsan/upv-mcp/add-mcp-tool/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/pgomsan/upv-mcp/add-mcp-tool"><img src="https://agentmods.dev/badge/skills/pgomsan/upv-mcp/add-mcp-tool.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 | $0.00100 | $0.01127 |
| Opus 5 | $0.00050 | $0.00563 |
| Sonnet 5 | $0.00020 | $0.00225 |
| Haiku 4.5 | $0.00010 | $0.00113 |
Grade A, and why
add-mcp-tool 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 10d 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 — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Anadir una tool a upv-mcp
Una tool nueva son cinco ficheros. Sigue el orden: el modelo de salida primero, la descripcion al final (es lo que mas se reescribe).
1. Modelo de salida en src/upv_mcp/models.py
Un modelo pydantic con Field(description=...) en cada campo: el SDK los convierte
en el output schema que ve el cliente.
Envuelvelo en un ...Result que incluya meta: ResultMeta. No es opcional: meta
lleva truncated, stale y coverage_note, que son lo que evita que el modelo
presente datos recortados o incompletos como si fueran la verdad completa.
2. Consulta en src/upv_mcp/cache/db.py
Filtra en SQL, no en Python. Anade el metodo ..._between(...) y su
count_..._between(...) hermano: hacen falta los dos, porque el contador es lo que
permite reportar el truncado con honestidad.
Si cambias el esquema: edita schema.sql, sube SCHEMA_VERSION y anade la rama de
migracion en migrate().
3. Modulo en src/upv_mcp/tools/<nombre>.py
Una tool por modulo. Exporta dos cosas: DESCRIPTION (constante) y una funcion
async que recibe repo: AcademicRepository primero y limit: int como keyword.
async def mi_tool(repo: AcademicRepository, param: str, *, limit: int) -> MiResult:
if <parametro invalido>:
raise ValueError("mensaje que el usuario final pueda entender")
await repo.ensure_fresh()
total = repo.cache.count_...(...)
items = repo.cache....(..., limit=limit)
return MiResult(items=items, meta=build_meta(repo, total_matching=total, returned=len(items)))
Prohibido en este fichero: importar mcp, httpx2 o icalendar. Si crees que los
necesitas, el trabajo va en sources/, no aqui.
4. Registro en src/upv_mcp/server.py
Unico sitio que toca el SDK. El Context se recibe por parametro (en el SDK 2.x no
existe get_context()):
@mcp.tool(title="Titulo corto", description=mi_tool_module.DESCRIPTION)
async def mi_tool(param: str, ctx: Context[AppContext]) -> MiResult:
app = ctx.request_context.lifespan_context
return await mi_tool_module.mi_tool(app.repo, param, limit=app.settings.max_results)
What ships with it
1 file 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.
- 10d ago First seen · 104 lines · 100 tokens per session scan A f26ebf00c07c
add-mcp-tool is a skill published in the GitHub repository pgomsan/upv-mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 100 tokens to every session and 1,127 once invoked, about $0.0005 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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