Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add worklittle/jobs-mcp --skill setupgit clone --depth 1 https://github.com/worklittle/jobs-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/worklittle/jobs-mcp/setup)<a href="https://agentmods.dev/skills/worklittle/jobs-mcp/setup"><img src="https://agentmods.dev/badge/skills/worklittle/jobs-mcp/setup.svg" alt="Measured on agentmods" 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 | $0.00038 | $0.00269 |
| Opus 5 | $0.00019 | $0.00134 |
| Sonnet 5 | $0.00008 | $0.00054 |
| Haiku 4.5 | $0.00004 | $0.00027 |
Grade A, and why
setup 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 6d 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.
What it actually says
Set up Worklittle Jobs
What this plugin uses
Remote MCP at https://mcp.worklittle.com/ (OAuth). No API key is stored in this plugin.
Public docs: https://docs.worklittle.com/mcp Privacy: https://worklittle.com/privacy Product: https://worklittle.com
Connect
Use the same URL in any MCP client (ChatGPT, VS Code, Cursor, Claude, Codex, and others):
https://mcp.worklittle.com/
- Add a remote / HTTP MCP server named Worklittle with that URL.
- Complete OAuth in the browser (same Worklittle account as worklittle.com).
- Confirm tools such as
search_jobsare available, then run a small search.
Claude Code only (the claude CLI):
claude mcp add --transport http worklittle https://mcp.worklittle.com/
If OAuth fails in Claude.ai, add a custom connector: Customize → Connectors → https://mcp.worklittle.com/
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.
- 6d ago First seen · 37 lines · 38 tokens per session scan A 9ff662e55045
setup is a skill published in the GitHub repository worklittle/jobs-mcp (0 stars, last pushed 13d ago), licensed MIT. It adds 38 tokens to every session and 269 once invoked, about $0.0002 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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