parallel-subagent-fanout-rate-limit-recover-from-disk SKILL.md skillA
parallel-subagent-fanout-rate-limit-recover-from-disk from wan-huiyan/agent-traffic-control is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add wan-huiyan/agent-traffic-control/parallel-subagent-fanout-rate-limit-recover-from-disk@v1.1.0Pins v1.1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- wan-huiyan/agent-traffic-control
- Path
plugins/agent-traffic-control/skills/parallel-subagent-fanout-rate-limit-recover-from-disk/SKILL.md- Versions recorded
- 1
- Latest version
- v1.1.0, committed Jul 8, 2026
- Size
- 6,491 bytes
- Repository stars
- 3
- License
- MIT
Large parallel subagent fan-outs (dispatching many Agent/Task subagents at once to each extract/transform a chunk and WRITE a file) hit a server-side rate limit, AND the agent RETURN STATUS lies about what got produced. Use when: (1) dispatching more than ~5-6 concurrent subagents and seeing "Server is temporarily limiting requests (not your usage limit) · Rate limited"; (2) deciding which "failed" subagents to re-run after a throttled batch; (3) a graphify-style chunked extraction…
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Parallel subagent fan-out: rate limit, and recover from disk not return status ## Problem You dispatch a large fan-out of subagents in one message — each reads a chunk, does work, and **writes an output file** — to maximize parallelism. Two things go wrong: 1. Above a low concurrency ceiling the API returns **"Server is temporarily limiting requests (not your usage limit) · Rate limited"** for most of the batch. 2. When you go to retry the "failed" ones, the agents' **return status is misleading**: many agents that returned a rate-limit/terminal error had *already completed their work and written their output file* — the error hit on the final summary turn, after the side effect. Re-running based on the agent return status re-does work that's already on disk (wasted tokens) or, worse, you trust "20 failed" and redo all 20 when 14 actually succeeded. ## Context / Trigger Conditions - Dispatching **>~5-6 concurrent** `general-purpose` Agent/Task subagents (or a Workflow fan-out) in a single message. - Result array peppered with `API Error: Server is temporarily limiting requests (not your usage limit) · Rate limited`. Some agents show `tool_uses: 14-24, …
Read the whole file at its exact version.
How to install
mdr add wan-huiyan/agent-traffic-control/parallel-subagent-fanout-rate-limit-recover-from-disk@sha256:e89024fb7a5d6908The line at the top of this page pins the label v1.1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_vmhbiuo7ft6zatv5)
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Versions
The registry has recorded 1 version of this file, committed on Jul 8, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (6491 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
wan-huiyan/agent-traffic-control · 3 stars · license MIT · pushed 2026-09-22 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_vmhbiuo7ft6zatv5 GET https://markdownregistry.com/api/v1/resolve?ref=wan-huiyan/agent-traffic-control/parallel-subagent-fanout-rate-limit-recover-from-disk GET https://markdownregistry.com/api/v1/blob/e89024fb7a5d6908f61eeb4ccf4e42fbcd84334537f5056a3bf86b1ab4db7f8a
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.