What is jobseek-label-daily?

A routine for turning recent public job postings into checked, structured records for the Jobseek dataset. It uses specialized coding agents and a command-line tool to clean, split, extract, validate, merge, and upload the data.

Use it to sample postings from the last day, normalize their HTML, divide them into sections, extract fields such as skills and benefits, run quality checks, and upload accepted records to Hugging Face.

It removes the repeated manual work of preparing job postings and keeps the labelling process consistent. The routine also checks results before accepting them into the dataset.

How colophon-group/jobseek configures Codex

Reuse

Borrowing it

Nothing to install: this file belongs to colophon-group/jobseek. 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/colophon-group/jobseek/main/.agents/skills/jobseek-label-daily/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/colophon-group/jobseek

Made for: Codex.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/colophon-group/jobseek/jobseek-label-daily/github.svg)](https://agentmods.dev/skills/colophon-group/jobseek/jobseek-label-daily)

Your own site

<a href="https://agentmods.dev/skills/colophon-group/jobseek/jobseek-label-daily"><img src="https://agentmods.dev/badge/skills/colophon-group/jobseek/jobseek-label-daily/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/colophon-group/jobseek/jobseek-label-daily"><img src="https://agentmods.dev/badge/skills/colophon-group/jobseek/jobseek-label-daily.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 1,712 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. 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.

Model	Per session	Once invoked
Fable 5.1	$0.00075	$0.01712
Opus 5.5	$0.00030	$0.00685
Sonnet 5.5	$0.00015	$0.00342
Haiku 4.5	$0.00007	$0.00171

Measured 1mo ago against content hash 2689d17b9b2c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

jobseek-label-daily 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 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.

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.

.agents/skills/jobseek-label-daily/SKILL.md · 185 lines

How it starts

The opening of the file, as written. The whole thing — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Jobseek Label Daily

Overview

This routine samples public job postings from the last 24 hours, labels them with Codex project custom agents, validates the outputs, merges accepted records, and uploads accepted gold data to viktoroo/jobseek-postings-labelled.

The Python labeller code is deterministic orchestration only: database reads, Jinja task rendering, JSON Schema/custom validation, merge, QA, and HuggingFace upload. Do not add provider SDK calls or call OpenAI or Anthropic endpoints from apps/crawler/src/labeller. LLM judgment happens through the already-running, subscription-backed Codex session and project custom agents configured in the active harness; the repo mirrors durable subagent contracts under .agents/labeller/.

Agents

Use these project custom agents:

jobseek-labeller-normalizer: GPT-6 Luna at low reasoning; raw HTML task input -> normalized.html.
jobseek-labeller-splitter: GPT-6 Luna at medium reasoning; split_sections task input -> split-out.json.
jobseek-labeller-extractor: GPT-6.1 Sol at high reasoning; extract_all task input -> extract-all-out.json.

The committed .codex/agents/*.toml files pin these settings. Do not let the labeller agents inherit the Sol 6.1/high orchestrator default: normalization and splitting are clear, repeatable tasks, while combined extraction needs more semantic judgment.

Each agent invocation message must be exactly:

INPUT: <rendered-input-path>
OUTPUT: <output-path>

The Jinja task prompts in apps/crawler/src/labeller/prompts/tasks/ own task-specific rules and schema phrasing. Do not duplicate or rewrite those prompts in the orchestrator.

Workflow

Run commands from apps/crawler with uv run labeller .... Default RUN_DATE is today; default accepted-record target is 10 unless the user provides overrides. Start with SAMPLE_SIZE=10; if QA rejections leave fewer than 10 accepted local records for the date, sample additional candidates and continue until the accepted target is met or the sampling pool is exhausted.

Read the full file on GitHub · 185 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.

agents/openai.yaml 215 B

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.

1mo ago Changed 2689d17b9b2c
1mo ago Changed 4d1c22455e84
1mo ago Changed d7d471c39631
2mo ago First seen · 185 lines · 75 tokens per session scan A b97b2117252a

Subscribe to this mod's changes

jobseek-label-daily is a skill published in the GitHub repository colophon-group/jobseek (223 stars, last pushed yesterday), licensed MIT. It adds 75 tokens to every session and 1,712 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-08-30.

Data and AI Research ats careers greenhouse job-aggregator job-board job-posting

jobseek-label-daily next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
jobseek-label-dailycolophon-group/jobseek	Skill	223	yesterday	MIT	A	75	Codex
find-tech-jobsstrelov1/freehire-mcp	Skill	17	yesterday	MIT	A	89	Claude Code
openhire-job-searchgzchenhao/openhire	Skill	14	yesterday	MIT	A	80	Claude Code
job-coachAkbarDevop/ai-job-agent	Skill	68	6mo ago	MIT	A	244	Claude Code
job-interviewAkbarDevop/ai-job-agent	Skill	68	6mo ago	MIT	A	163	Claude Code
job-cvAkbarDevop/ai-job-agent	Skill	68	6mo ago	MIT	A	199	Claude Code
job-evaluateAkbarDevop/ai-job-agent	Skill	68	6mo ago	MIT	A	166	Claude Code

jobseek: Skill for Codex