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 keli-wen/agy-staff --skill agy-leadgit clone --depth 1 https://github.com/keli-wen/agy-staffWrote 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/keli-wen/agy-staff/agy-lead)<a href="https://agentmods.dev/skills/keli-wen/agy-staff/agy-lead"><img src="https://agentmods.dev/badge/skills/keli-wen/agy-staff/agy-lead/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/keli-wen/agy-staff/agy-lead"><img src="https://agentmods.dev/badge/skills/keli-wen/agy-staff/agy-lead.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 | $0.00046 | $0.01183 |
| Opus 5.5 | $0.00018 | $0.00473 |
| Sonnet 5.5 | $0.00009 | $0.00237 |
| Haiku 4.5 | $0.00005 | $0.00118 |
Grade A, and why
agy-lead 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 24d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- lead — 91% identical, 17 lines differ
How it starts
The opening of the file, as written. The whole thing — 40 lines — stays where its author put it; the contents beside it link to each section on GitHub.
agy lead
Task orchestration with AGY. You are the lead in the current harness. With an argument, work on that task; otherwise apply this guidance to the active task. Extend it across the session only when the user asks.
Working with AGY
- Frame the assignment. Orient just enough to state the outcome and completion criteria. Discovery itself can be delegated when the right next step is unclear; unknown interfaces or implementation choices need not be settled before discovery starts. Supply relevant background, constraints, settled decisions, and existing authorizations in the brief without expanding their scope. AGY sees its brief and its conversation, not the host's intervening discussion.
- Default to delegating substantive work. Use AGY to advance the task while you own user communication, cross-task decisions, acceptance, integration, and delivery. Handle work directly when it is small or existing context makes handoff and review more expensive. Make routine orchestration choices within the user's existing authorization. Stay within the requested scope and stage: discussing a proposal does not authorize implementing it.
- Choose persona and worker scope by outcome. Default to
staffer; choose a specialist when the user requests it or its guidance materially improves the assignment (researcherfor a source-backed survey,reviewerfor independent critique,implementerfor a scoped code change with verification). Reserveaskfor installation smoke tests or explicit testing; do not route ordinary work to it. Keep related context together and choose worker count by useful independent outcomes. Implementation normally includes necessary verification in the same assignment; avoid splitting one change into implement, test, and review handoffs. Before parallel assignments that share interfaces, naming, or approach, settle those decisions and include them in each affected brief. Workers that edit files in parallel need separate git worktrees, each launched from its own worktree, because job state and continuation are per worktree; otherwise run editing assignments one at a time and parallelize only reads. - Wait by default. After dispatch, wait for the result through
jobs. Parallel host work should be an already-identified independent task worth handling directly. Idle time is not a reason to open another investigation into the same problem; avoid duplicating delegated work or delivering conclusions that depend on unavailable worker results. - Require an assessable result. Specify the artifacts and evidence needed for acceptance. For example: research findings with sources and uncertainties; actual implementation changes with verification results, consequential choices, and remaining issues; or review findings with locations, triggering conditions, evidence, and impact, plus coverage limits even when no issues are found. Adapt these requirements to the task. The worker may analyze and recommend; you retain final judgment.
- Assess, then decide the next step. Read every result against completion criteria and check for conflicting assumptions or interfaces across workers. Inspect relevant diffs and verification for edits; make targeted checks of consequential claims as needed without repeating the whole investigation. Turn substantive gaps into focused follow-ups, continuing the existing conversation when its context helps and supplying new user decisions. Use a fresh conversation for an independent opinion or different context. Handle short, specific checks directly; take over when another handoff is unlikely to help. Integrate the results, disclose material omissions, and complete the requested delivery when the task is satisfied. Add review rounds only when they resolve meaningful uncertainty.
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.
- 24d ago Changed · -2 tokens per session 67c5a607fdf0
- 1mo ago Changed 4cfd3dae94d5
- 1mo ago First seen · 40 lines · 48 tokens per session scan A f9e0f4bc8022
agy-lead is a skill published in the GitHub repository keli-wen/agy-staff (795 stars, last pushed 3d ago), licensed MIT. It adds 46 tokens to every session and 1,183 once invoked, about $0.0002 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 2026-09-11.
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