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 rp1-run/rp1 --skill speedrungit clone --depth 1 https://github.com/rp1-run/rp1Wrote 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/rp1-run/rp1/speedrun)<a href="https://agentmods.dev/skills/rp1-run/rp1/speedrun"><img src="https://agentmods.dev/badge/skills/rp1-run/rp1/speedrun/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/rp1-run/rp1/speedrun"><img src="https://agentmods.dev/badge/skills/rp1-run/rp1/speedrun.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 | $0.00036 | $0.02322 |
| Opus 5 | $0.00018 | $0.01161 |
| Sonnet 5 | $0.00007 | $0.00464 |
| Haiku 4.5 | $0.00004 | $0.00232 |
Grade A, and why
speedrun scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 271 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Speedrun
Interactive speedrun loop for rapid, small changes. Delegates each request to a single general sub-agent.
This command ONLY orchestrates. It does NOT implement code.
First emit: Include --name "{RUN_NAME}" on the first emit call to label the run in the Arcade dashboard. Derive RUN_NAME from the initial request: a brief summary (max 60 chars) prefixed with "Feature: ". Use the RUN_ID from the generated Workflow Bootstrap section. Capture DATESTAMP=$(date +%Y-%m-%d) once at session start for use in session log paths. Initialize TASK_COUNT=0 at session start.
On session start, emit the status change:
rp1 agent-tools emit \
--workflow speedrun \
--type status_change \
--run-id {RUN_ID} \
--name "Feature: {brief summary of request}" \
--step active \
--data '{"status": "running"}'
Per-task unit tracking: Each task in the session gets a unit identifier task-{TASK_COUNT}. Increment TASK_COUNT before each new task starts. Include --unit task-{TASK_COUNT} on ALL emit calls for that task so each task appears as a trackable item in the Arcade.
STATE-MACHINE
stateDiagram-v2
[*] --> active
active --> [*] : session_end
1. Main Loop
1.1 Get Request
If REQUEST empty:
{% ask_user "What would you like to build?" %}
1.2 Clarity Check
Super vague (ask for clarification):
- Single word: "refactor", "fix", "improve"
- No actionable target: "make it better"
Clear enough (proceed):
- Specific action + target: "add logout button to navbar"
- Bug description: "fix null error in auth.ts"
- File/component reference: "update UserCard styling"
If vague: ask ONE clarifying question. Do NOT over-interrogate.
1.3 Scope Gate
Before delegating, assess the request:
| Factor | Small (proceed) | Medium/Large (redirect) |
|---|---|---|
| Files | 1-3 | >3 |
| Systems | 1 | >1 |
| Risk | Low | Medium or High |
| Estimated effort | <2h | >2h |
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.
- 2d ago First seen · 271 lines · 36 tokens per session scan A 4ba818a07337
speedrun is a skill published in the GitHub repository rp1-run/rp1 (38 stars, last pushed 3d ago), licensed Apache-2.0. It adds 36 tokens to every session and 2,322 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 2026-09-07.
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