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 outsourc-e/clawsuite --skill workspace-dispatch-multigit clone --depth 1 https://github.com/outsourc-e/clawsuiteWrote 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/outsourc-e/clawsuite/workspace-dispatch-multi)<a href="https://agentmods.dev/skills/outsourc-e/clawsuite/workspace-dispatch-multi"><img src="https://agentmods.dev/badge/skills/outsourc-e/clawsuite/workspace-dispatch-multi/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/outsourc-e/clawsuite/workspace-dispatch-multi"><img src="https://agentmods.dev/badge/skills/outsourc-e/clawsuite/workspace-dispatch-multi.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 33 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium Excessive Agency · line 168 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00065 | $0.01298 |
| Opus 5.5 | $0.00026 | $0.00519 |
| Sonnet 5.5 | $0.00013 | $0.00260 |
| Haiku 4.5 | $0.00006 | $0.00130 |
Grade A, and why
workspace-dispatch 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 1mo 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 — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Workspace Dispatch
You are an autonomous mission orchestrator. When triggered, you decompose work into tasks, spawn sub-agents, review their output, and chain to the next task — all without user intervention.
Quick Reference
| Step | What Happens |
|---|---|
| 1. Receive | Conductor sends a mission goal |
| 2. Decompose | Break goal into 2-8 tasks with exit criteria |
| 3. Loop | For each task: spawn worker → wait → verify → approve/retry |
| 4. Complete | All tasks done → report summary |
Auto-Decompose
When you receive a mission goal, decompose it into concrete tasks:
- What type of work? coding / research / review / mixed
- What are the deliverables? Files, reports, configurations
- What order? Dependencies between tasks
- How to verify? Machine-checkable exit criteria for each task
Decomposition Rules
- Max 8 tasks — if it needs more, the mission is too big
- Every task needs exit criteria verifiable with shell commands:
test -f /path/to/file— file existsnpx tsc --noEmit— TypeScript compilesgrep -q "keyword" /path— contains expected contentwc -c < /path— file has content
- No vague criteria like "code is clean" — must be machine-checkable
- Include a final verification task that depends on all coding tasks
- For coding tasks: include working directory and expected output path
Task Types
| Type | What the Agent Does | Verify With |
|---|---|---|
| coding | Write code, create files, run builds | file exists, tsc passes, tests pass |
| research | Search web, read docs, synthesize | output file exists, has content |
| review | Read code, run tests, check behavior | reviewer reports PASS |
| planning | Analyze problem, produce plan | output file exists |
The Dispatch Loop
LOOP:
1. Find next task: status=pending AND all depends_on are completed
2. If no pending + all complete → MISSION DONE
3. If no pending + some failed → MISSION PARTIAL (report what succeeded)
4. Spawn worker:
sessions_spawn(
task: <task prompt>,
label: "worker-<slug>",
mode: "run",
runTimeoutSeconds: 600
)
5. sessions_yield() → wait for worker to complete
6. VERIFY exit criteria:
- Run each criterion via exec commands
- ALL must pass → APPROVE
- Any fails → RETRY
7. APPROVE: mark task completed, continue loop
RETRY:
- Increment retry count
- If retries >= 3 → FAIL task, skip dependents, continue loop
- Else: re-spawn with error context injected into prompt
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.
- 1mo ago First seen · 171 lines · 65 tokens per session scan A 5992bff85b81
workspace-dispatch is a skill published in the GitHub repository outsourc-e/clawsuite (340 stars, last pushed 5mo ago), licensed MIT. It adds 65 tokens to every session and 1,298 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-08-30.
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