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 agentproto/ts --skill pb-supervise-parallel-missiongit clone --depth 1 https://github.com/agentproto/tsWrote 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/agentproto/ts/pb-supervise-parallel-mission)<a href="https://agentmods.dev/skills/agentproto/ts/pb-supervise-parallel-mission"><img src="https://agentmods.dev/badge/skills/agentproto/ts/pb-supervise-parallel-mission/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/agentproto/ts/pb-supervise-parallel-mission"><img src="https://agentmods.dev/badge/skills/agentproto/ts/pb-supervise-parallel-mission.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 | $0.00058 | $0.01049 |
| Opus 5 | $0.00029 | $0.00524 |
| Sonnet 5 | $0.00012 | $0.00210 |
| Haiku 4.5 | $0.00006 | $0.00105 |
Grade A, and why
pb-supervise-parallel-mission 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 4d 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 — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
pb-supervise-parallel-mission — N parallel workers, one result
Goal
You are the supervisor. Decompose the mission so no two children touch the same paths, spawn all workers in one batch, fan-in their turn-ends, verify each result yourself, dispatch targeted fixes, then tear the fleet down and synthesize the single deliverable you owe.
Prerequisites (reference by name): ap-spawn-agent, ap-wait-fanin,
ap-read-output, ap-tasks, ap-lifecycle. One worker only: see
pb-new-agent-session. A parent that spawns its own children: see
pb-nested-orchestrator.
Steps
1. Decompose into disjoint ownership
Split the mission so each child owns a disjoint set of files or topics. Two children writing the same paths means merge conflicts and blame loops. Write the ownership down BEFORE spawning — it goes verbatim into each brief.
2. Take the cursor FIRST
session_events_poll({})
Arm the watch before any child exists: events emitted before your first poll
come back immediately with since, so a fast child can never slip past.
3. Spawn all N in ONE batch
Parallel agent_start calls in the same turn, distinct labels, each brief
self-contained:
agent_start({
adapter: 'hermes',
model: 'z-ai/glm-5.3-flash',
cwd: '<ABSOLUTE host path>',
label: 'worker-files',
access: { profileRef: 'openrouter-env' },
mcpServers: [{ name: 'agentproto', transport: 'http', ref: 'http://127.0.0.1:18790/mcp' }],
prompt: '<child brief - see template below>'
})
claude-code children drop mcpServers (native tools are built in). Keep
every returned session id paired with its label.
4. Fan-in on turn-end
session_monitor({ sessionIds: ['id1', 'id2', 'id3'], event: 'turn-end', since: <cursor>, timeoutMs: 25000 })
The monitor returns on the FIRST watched session to fire. Repeat the call with the fresh cursor until every child has fired.
5. Verify each result YOURSELF
A child's "done" is a self-report. Open the files it claims to have written, run the command it claims passes, compare against the brief. Only your own check counts as verification.
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.
- 4d ago First seen · 114 lines · 58 tokens per session scan A 43ed937ba6e9
pb-supervise-parallel-mission is a skill published in the GitHub repository agentproto/ts (5 stars, last pushed today), licensed Apache-2.0. It adds 58 tokens to every session and 1,049 once invoked, about $0.0003 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 2026-09-04.
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