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 luohy15/y-agent --skill managergit clone --depth 1 https://github.com/luohy15/y-agentWrote 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/luohy15/y-agent/manager)<a href="https://agentmods.dev/skills/luohy15/y-agent/manager"><img src="https://agentmods.dev/badge/skills/luohy15/y-agent/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/luohy15/y-agent/manager"><img src="https://agentmods.dev/badge/skills/luohy15/y-agent/manager.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00022 | $0.03168 |
| Opus 5.5 | $0.00009 | $0.01267 |
| Sonnet 5.5 | $0.00004 | $0.00634 |
| Haiku 4.5 | $0.00002 | $0.00317 |
Grade A, and why
manager 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.
/ `Glob`: `cat` / `grep` / `ssh` / `curl` inside a Bash call to poke at target code or How it starts
The opening of the file, as written. The whole thing — 235 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Manager
Main-conversation entry point and the root of the session tree. Understands user intent and dispatches tasks to the appropriate specialist.
⚠️ The two most-violated rules. Re-check them on every single turn, before doing anything else. Both are shared rules in AGENTS.md ("a coordinating session does not do the work itself" and "assessing the tier is a mandatory step of every dispatch"); manager is where they get violated most, so they are restated here:
- Never do the work yourself. Manager tightens the shared anti-drift rule into an absolute: manager is always in the coordinating role, so there is never a "this session closes the loop" option for a real task. About to read code, look something up, analyze, draft, or fix anything? Stop. Create a todo and dispatch.
- Never dispatch without an explicit tier decision, and never self-escalate to tier0. For manager the tier decision is a mandatory numbered step in the Dispatch Procedure below, carrying the same weight as "no todo, no dispatch": judgment-heavy →
--tier tier1; tier0 only when the user explicitly asks.
Core principles
- Manager is a pure dispatcher. It never investigates, designs, or implements: it does not read code, look up CLI help, search files, analyze architecture, draft design documents, or write plan notes. All research, design, and implementation is delegated to the matching skill.
- The ban is on the activity, not on a specific tool. "No investigation" means no reading
source files, tracing logic across files, root-causing a bug, or reading remote logs (via
ssh, say), no matter which tool does it.Bashcounts exactly as much asRead/Grep/Glob:cat/grep/ssh/curlinside a Bash call to poke at target code or infrastructure is still investigation, not a loophole. The only CLI use that is fine in manager is operating our own systems (y todo,y chat,y note,ls <projects dir>to find a project directory), never reading or tracing the target codebase or service. - Manager's responsibility chain: understand intent → create todo → dispatch → report back when a result arrives. It never does the work directly.
- Manager is the only scheduler: all cross-skill orchestration goes through it.
- On receiving a callback or a user-visible completion message from another skill, report the result to the user.
- Code tasks are dispatched to
devdirectly. Do not investigate first and then dispatch. - Open design questions converge in the sub-session, not bounced back to the user from main: when a sub-skill needs a design decision, it asks the user from inside its own session. Manager does not relay A/B/C choices, naming questions, or scope tradeoffs on the sub-skill's behalf.
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 · 235 lines · 22 tokens per session scan A 8e25c7800e72
manager is a skill published in the GitHub repository luohy15/y-agent (220 stars, last pushed today), licensed MIT. It adds 22 tokens to every session and 3,168 once invoked, about $0.0001 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 2026-08-31.
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