pupila: Instructions file for Codex

AGENTS.md

pupila AGENTS.md is an instructions file for Codex, OpenCode from FranRom/pupila. It costs 9,832 tokens per session, scanned A, original, MIT.

Project instructions for Pupila, a configurable job-listing aggregator. It collects listings from public job boards and feeds, filters and scores them, removes duplicates, and writes files such as a job table and RSS feed.

In plain words
What is it for?
Use them when running the project, adding or changing job sources, adjusting candidate-fit scoring and filters, or working with the generated jobs, RSS, and Markdown files.
Why use it?
They explain how the repository is organised and how its daily job-collection process works. This helps an AI assistant change the project without breaking its fetchers, filters, scoring, or generated output.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions AGENTS.md; mentions Codex; mentions OpenCode.

This is FranRom/pupila's own configuration. It tells Codex and OpenCode 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/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/FranRom/pupila

Made for: Codex, OpenCode.

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 AGENTS.md

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

Your own site · 80×15
<a href="https://agentmods.dev/instructions/franrom/pupila/agents-md"><img src="https://agentmods.dev/badge/instructions/franrom/pupila/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 9,832 This file is loaded in full into every session.
When invoked 9,832 The same file — it is already loaded in full.
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 $0.09832 $0.09832
Opus 5.5 $0.03933 $0.03933
Sonnet 5.5 $0.01966 $0.01966
Haiku 4.5 $0.00983 $0.00983

Measured 1mo ago against content hash 90ad46ce1b81, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pupila AGENTS.md 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 1mo 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"
AGENTS.md · 403 lines

How it starts

The opening of the file, as written. The whole thing — 403 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Guidance for future Codex sessions working in this repo.

Overview

pupila is a config-driven, forkable daily job aggregator. It fetches listings from 13 public sources (3 ATS APIs — Ashby, Greenhouse, Lever — plus RSS feeds, JSON job boards, Hacker News, HTML scrapers, an Aave Next.js scraper, and ashby-private — a config-driven fetcher for orgs hosted on Ashby with the public posting-API disabled), normalizes them, applies hard exclusion filters, computes a per-job fitScore, deduplicates, and writes data/jobs.json, an RSS feed at data/feed.xml, and an auto-regenerated JOBS.md table. The hand-written README.md is the project doc and is not rewritten by the pipeline. No external services. No DB. Output lives in this repo.

The repo ships a neutral template in config/profile.json. After onboarding (CV upload → brief generation), /api/profile-generate shells out to the local LLM CLI to fill in the personal keyword lists + weights based on the brief. Re-runnable from Settings → Scoring profile → Regenerate. config/slugs.json ships with the full ~50-company tier-S list (all public ATS URLs — non-personal data, edit by hand to add/remove companies).

First-run UX: a forker generates their config/candidate-brief.md by running pnpm run setup-brief --file ~/cv.pdf (or via the UI's Profile tab → drop a PDF/DOCX/MD CV). That CLI shells out to whichever local LLM CLI is installed (Codex, codex, gemini, opencode — auto-detected, override via PUPILA_LLM=<provider>).

Stack

  • Node 22 LTS, ESM, TypeScript 5.9 (NodeNext)
  • Biome 2.4 (lint + format, single config in biome.json)
  • pnpm 10
  • Vitest 3 (tests in tests/, run via pnpm test — 120 cases)
  • simple-git-hooks (pre-commit lint && typecheck)
  • Single runtime dep: fast-xml-parser. Native fetch only.

Run locally

pnpm install                # also installs the pre-commit hook
pnpm run dev                # tsx, no build step (this is what the launchd/cron aggregate agent runs)
pnpm start                  # built output: requires pnpm run build first
pnpm run typecheck          # tsc --noEmit on src/, then on src/+tests/ via tsconfig.test.json
pnpm run lint               # biome check
pnpm run lint:fix            # biome check --write
pnpm test                   # vitest run (120 unit tests)
pnpm run test:watch         # vitest watch mode
pnpm run ui                 # local-only UI: Vite dev server on http://127.0.0.1:5173, reads data/jobs.json
pnpm run ai-review          # local-only: shells out to `Codex -p` to write data/ai-reviews.json
pnpm run ai-review --top=50 # raise the per-run cap (default 20 highest-fitScore unreviewed)
pnpm run ai-review --force  # re-review entries that already exist
pnpm run ai-review --ids=a,b # review specific job ids only
pnpm run setup-brief --file ~/cv.pdf  # generate config/candidate-brief.md from a CV (PDF/DOCX/MD/TXT)
pnpm run daily              # convenience: pnpm run dev && pnpm run ai-review (morning routine)

Read the full file on GitHub · 403 lines

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. 1mo ago First seen · 403 lines · 9,832 tokens per session scan A 90ad46ce1b81

Subscribe to this mod's changes

pupila AGENTS.md is an instructions file published in the GitHub repository FranRom/pupila (36 stars, last pushed yesterday), licensed MIT. It adds 9,832 tokens to every session, about $0.0393 per session on Opus 5.5. 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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