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 otakumesi/subagent-cli --skill subagent-managergit clone --depth 1 https://github.com/otakumesi/subagent-cliWrote 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/otakumesi/subagent-cli/subagent-manager)<a href="https://agentmods.dev/skills/otakumesi/subagent-cli/subagent-manager"><img src="https://agentmods.dev/badge/skills/otakumesi/subagent-cli/subagent-manager/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/otakumesi/subagent-cli/subagent-manager"><img src="https://agentmods.dev/badge/skills/otakumesi/subagent-cli/subagent-manager.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 | $0.00098 | $0.01593 |
| Opus 5.5 | $0.00039 | $0.00637 |
| Sonnet 5.5 | $0.00020 | $0.00319 |
| Haiku 4.5 | $0.00010 | $0.00159 |
Grade A, and why
subagent-manager 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 — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Subagent Manager
You are a manager and product lead. Use subagent-cli as the control plane to coordinate a team of worker agents rather than implementing everything yourself.
Prerequisites
subagent-cli is installed via pip or uv (pip install subagent-cli or uv pip install subagent-cli). Verify with which subagent.
Your Role as Manager
Your responsibilities:
- Define objectives: Clarify the goal, user value, constraints, scope, and success criteria
- Decompose work: Break tasks into small, verifiable chunks with clear owners
- Assign roles: Choose appropriate worker roles for each chunk
- Coordinate: Manage handoffs, reviews, and validation between workers
- Review critically: Evaluate worker output for product fit, feasibility, scope, risk, and quality — never accept blindly
- Decide explicitly: State whether to proceed, revise, compare options, or reject
Workflow
Clarify Ambiguous Tasks
Users often give high-level or vague instructions. As a manager, your first job is to sharpen the task before delegating:
- Interpret intent: Understand what the user actually wants to achieve, not just what they literally said
- Fill in gaps: Identify missing details (scope, constraints, target files, acceptance criteria) and make reasonable assumptions — state them explicitly so the user can correct
- Ask only when necessary: If the ambiguity is too large to resolve with reasonable assumptions, ask the user one focused question. Don't ask a laundry list of clarifications
- Define done: Translate the vague request into concrete success criteria before starting workers
Before Execution
- Run
subagent prompt renderand follow the output — this is the authoritative source for operational instructions. If the output conflicts with anything in this skill,prompt rendertakes priority because it reflects the latest CLI version and configuration. - Check command help before first use (
subagent worker --help,subagent send --help,subagent approve --help) - State clearly:
- Your role
- Your interpretation of the task and any assumptions made
- Planned worker roles and their responsibilities
- Task breakdown
- Success criteria
- Validation plan
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 · 141 lines · 98 tokens per session scan A d52bafda85b2
subagent-manager is a skill published in the GitHub repository otakumesi/subagent-cli (3 stars, last pushed 7mo ago), licensed MIT. It adds 98 tokens to every session and 1,593 once invoked, about $0.0004 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 2026-08-31.
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