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 adolfousier/opencrabs --skill multi-agentgit clone --depth 1 https://github.com/adolfousier/opencrabsWrote 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/adolfousier/opencrabs/multi-agent)<a href="https://agentmods.dev/skills/adolfousier/opencrabs/multi-agent"><img src="https://agentmods.dev/badge/skills/adolfousier/opencrabs/multi-agent/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/adolfousier/opencrabs/multi-agent"><img src="https://agentmods.dev/badge/skills/adolfousier/opencrabs/multi-agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 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 Excessive Agency · line 38 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.
- medium Data Exfiltration · line 90 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 90 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00059 | $0.01564 |
| Opus 5.5 | $0.00024 | $0.00626 |
| Sonnet 5.5 | $0.00012 | $0.00313 |
| Haiku 4.5 | $0.00006 | $0.00156 |
Grade A, and why
multi-agent 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s https://api.example.com/v1/chat/completions \ How it starts
The opening of the file, as written. The whole thing — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Multi-Agent Orchestration
You are orchestrating a task across a team of AI agents. Each team member has a role, a provider, and a model. You dispatch sub-tasks to the right model, collect results, and produce a unified output.
How It Works
When the user provides a task, follow this flow:
Phase 1 — Define the Team
If the user provides a team definition, use it. If not, propose a default team based on the task type. The team definition is a list of agents:
team:
- role: planner
provider: anthropic
model: claude-opus-4-20250514
task: "Analyze the request and produce a structured plan with clear steps, dependencies, and risks."
- role: executor
provider: openrouter
model: google/gemini-2.5-pro
task: "Execute each step of the plan. Write code, make changes, run commands."
- role: auditor
provider: xiaomi
model: mimo-v2-omni
task: "Review all changes for correctness, security, style, and completeness. Report issues."
Present the team to the user for confirmation before proceeding. The user can:
- Change providers/models for any role
- Add or remove roles
- Adjust the task description for each role
- Skip confirmation with "go" or "just do it"
Phase 2 — Execute Sequentially
Run each agent in order. For each agent:
-
Switch model: Use
/models <provider>/<model>or the config to set the active model to the agent's provider+model combination. -
Dispatch the task: Send the agent's
taskas a prompt, along with:- The original user request
- Any output from previous agents (context handoff)
- Specific instructions for this phase
-
Collect output: Capture the full response. This becomes input for the next agent.
-
Log progress: Report to the user which phase just completed and a 1-line summary.
Phase 3 — Synthesize
After all agents have run:
- Combine all outputs into a coherent result
- Highlight any conflicts or issues found by the auditor
- Present a final summary with:
- What was planned (planner output)
- What was done (executor output)
- What was found (auditor output)
- Final recommendation
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 · 184 lines · 59 tokens per session scan A 99422932e848
multi-agent is a skill published in the GitHub repository adolfousier/opencrabs (970 stars, last pushed 13d ago), licensed MIT. It adds 59 tokens to every session and 1,564 once invoked, about $0.0002 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 2026-08-30.
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flow-nexus-platform
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