Borrowing it
Nothing to install: this file belongs to chrzanowy/agent-tollbooth. 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/chrzanowy/agent-tollbooth/main/.claude/skills/warmstart/SKILL.mdgit clone --depth 1 https://github.com/chrzanowy/agent-tollboothWrote 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/chrzanowy/agent-tollbooth/warmstart)<a href="https://agentmods.dev/skills/chrzanowy/agent-tollbooth/warmstart"><img src="https://agentmods.dev/badge/skills/chrzanowy/agent-tollbooth/warmstart/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/chrzanowy/agent-tollbooth/warmstart"><img src="https://agentmods.dev/badge/skills/chrzanowy/agent-tollbooth/warmstart.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 | $0.00087 | $0.00574 |
| Opus 5.5 | $0.00035 | $0.00230 |
| Sonnet 5.5 | $0.00017 | $0.00115 |
| Haiku 4.5 | $0.00009 | $0.00057 |
Grade A, and why
warmstart 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 2mo 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 -s 'localhost:4402/board?query=repo:<host>/<owner>/<name>' What it actually says
resume — warm-start from a board
A previous session (possibly a different model or harness) left its durable context on a board. Your job: load it cheaply, then continue the work — not summarize it back to the user.
Steps
-
Find the board. If the user named a topic or context, open it directly (
board_openorPOST /board/open). Otherwise derive the project prefix from the git remote (repo:<host>/<owner>/<name>) and list its contexts — the prefix query is the project's context map:curl -s 'localhost:4402/board?query=repo:<host>/<owner>/<name>'(or
board_list). Each row carriestopic,description, andlatest_seq. If there is exactly one board, use it. If there are several (repo:.../ctx:<slug>workstreams beside the project inbox), show the user a short menu — description + topic per line — and ask which context to resume; do not guess between active workstreams. -
Catch up with one read. The default read is the warm start: latest digest + only the entries the digest does not cover:
curl -s 'localhost:4402/board/<id>?limit=1000'Treat the digest as ground truth for everything before
covers_seq; the uncovered entries are what happened since. Do NOT page through raw history (since_seq=0) unless a specific ambiguity forces you to — that re-spends exactly the tokens the digest saved. -
Continue the work. The digest/entries should name a next action — start there. Briefly tell the user what state you resumed from (one or two sentences), then act. If the board is empty or has no next action, say so and ask for direction instead of guessing.
-
Close the loop. When you reach a milestone or the session winds down, post a checkpoint (see the
checkpointskill): conclusions, decisions with why, and the next action — so the board stays resumable for whoever comes after you.
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.
- 2mo ago First seen · 50 lines · 87 tokens per session scan A 5daa7e665654
warmstart is a skill published in the GitHub repository chrzanowy/agent-tollbooth (0 stars, last pushed 2mo ago), licensed MIT. It adds 87 tokens to every session and 574 once invoked, about $0.0003 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 2026-08-31.
warmstart compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| warmstartchrzanowy/agent-tollbooth | Skill | 0 | 2mo ago | MIT | A | 87 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |