pupila: Skill for Claude Code

.claude/skills/pupila-fetchers/SKILL.md

pupila-fetchers is a skill for Claude Code from FranRom/pupila. It costs 75 tokens per session (2,349 once invoked), scanned A, original, MIT.

A design and implementation guide for building web interfaces such as pages, dashboards, applications, and reusable components. It covers HTML, CSS, JavaScript, React, Vue, and similar technologies.

In plain words
What is it for?
Use it to create or refine landing pages, websites, dashboards, posters, web components, and application screens.
Why use it?
It helps turn a visual brief into working interface code with a deliberate style, readable layout, accessibility, and production details.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions CLAUDE.md.

This is FranRom/pupila's own configuration. It tells Claude Code how to work on pupila itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything pupila configures →

Reuse

Borrowing it

Nothing to install: this file belongs to FranRom/pupila. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/FranRom/pupila/main/.claude/skills/pupila-fetchers/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/FranRom/pupila

Made for: Claude Code.

Wrote 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.

agentmods badge for pupila-fetchers

README.md
[![agentmods](https://agentmods.dev/badge/skills/franrom/pupila/pupila-fetchers/github.svg)](https://agentmods.dev/skills/franrom/pupila/pupila-fetchers)
Your own site
<a href="https://agentmods.dev/skills/franrom/pupila/pupila-fetchers"><img src="https://agentmods.dev/badge/skills/franrom/pupila/pupila-fetchers/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.

agentmods 80×15 button for pupila-fetchers

Your own site · 80×15
<a href="https://agentmods.dev/skills/franrom/pupila/pupila-fetchers"><img src="https://agentmods.dev/badge/skills/franrom/pupila/pupila-fetchers.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,349 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00075 $0.02349
Opus 5 $0.00037 $0.01175
Sonnet 5 $0.00015 $0.00470
Haiku 4.5 $0.00007 $0.00235

Measured 12d ago against content hash ddac45d0af35, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

pupila-fetchers scanned grade A with 1 finding 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 12d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -sI "https://api.ashbyhq.com/posting-api/job-board/<slug>?includeCompensation=true"
.claude/skills/pupila-fetchers/SKILL.md · 95 lines

How it starts

The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.

The pipeline ingests from 19 public sources (5 ATS APIs — Ashby, Greenhouse, Lever, Recruitee, Personio (XML) — plus RSS, JSON boards, HN, HTML scrapers, an Aave Next.js scraper, ashby-private for orgs whose public posting-API is disabled, jobicy and himalayas — no-key remote-jobs feeds, and bluedoor — a free cross-ATS aggregator queried by region from profile.location). Adding a source means: a fetcher, a normalizer, a Source literal, a slot in the orchestrator, and dedup/render wiring.

Companion invariants: src/fetchers/CLAUDE.md (auto-loaded when working in that dir) — security checklist + must-obey rules. Read those rules; this skill covers the procedural side.

Add a new fetcher (mechanical checklist)

  1. Raw shape in src/types.tsinterface Raw<Name> { ... }.
  2. Fetcher at src/fetchers/<name>.ts, exporting fetch<Name>(): Promise<FetcherResult<Raw>>{ items, errors }. Never throw — catch internally, push to errors.
    • Use fetchWithTimeout / fetchJson / fetchText from src/utils.ts (30s timeout, 1 retry on 5xx/network).
    • Pass JSON_HEADERS or RSS_HEADERS.
    • For multi-slug fetchers, use fetchMultiSlug from src/fetchers/_shared.ts — it owns the Promise.all + per-slug try/catch + flatMap. The fetcher only owns per-slug extraction. Canonical examples: ashby.ts, greenhouse.ts, lever.ts.
  3. Canonical source name — add the literal to the SOURCES const tuple in src/types.ts (single source of truth; type Source derives from it). This one edit cascades: the MCP sourceEnum, KNOWN_SOURCES in src/lib/fetch-runner.ts, and the UI fetch-progress panel (ui/plugins/fetchJobs.ts) all derive from it automatically — don't hand-edit those.
  4. Normalize — add normalize<Name>(items, fetchedAt): Job[] to src/normalize.ts. Use withSalary() spread to populate salary* fields.
  5. Wire orchestratorsrc/index.ts: import + add a line in the Promise.all block via processFetcher(...).
  6. Dedup priority — add to SOURCE_PRIORITY in src/dedup.ts (ordered most → least trusted). Compile-enforced: Record<Source, …> fails to build if you skip it.
  7. Render — add to the display-ordered SOURCES in src/render.ts so by-source counts appear in JOBS.md. Compile-enforced: the satisfies + exhaustiveness guard below the array fails to build if you skip it.
  8. UI client mirror — add the literal to the Source union in ui/src/types.ts (a deliberate mirror that must NOT import from src/*). Guarded by tests/source-lists.test.ts, which fails if it drifts from the canonical tuple.
  9. Tests — at least one parser test in tests/ for HTML scrapers. Use existing files (aave.test.ts, ashby-private.test.ts, normalize-hn.test.ts, bluedoor.test.ts) as templates.

Source lists are guarded, not duplicated. After step 3, steps 6–8 are the only other places that need a manual entry, and every one fails the build or a test if you forget — see tests/source-lists.test.ts and the guards in src/render.ts / src/dedup.ts. You can't silently half-wire a source anymore.

Read the full file on GitHub · 95 lines

Files

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.

Changes

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.

  1. 12d ago First seen · 95 lines · 75 tokens per session scan A ddac45d0af35

Subscribe to this mod's changes

pupila-fetchers is a skill published in the GitHub repository FranRom/pupila (37 stars, last pushed 2mo ago), licensed MIT. It adds 75 tokens to every session and 2,349 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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