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 makifbaysal/tasktrooper --skill pm-as-solo-orchestratorgit clone --depth 1 https://github.com/makifbaysal/tasktrooperWrote 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/makifbaysal/tasktrooper/pm-as-solo-orchestrator)<a href="https://agentmods.dev/skills/makifbaysal/tasktrooper/pm-as-solo-orchestrator"><img src="https://agentmods.dev/badge/skills/makifbaysal/tasktrooper/pm-as-solo-orchestrator/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/makifbaysal/tasktrooper/pm-as-solo-orchestrator"><img src="https://agentmods.dev/badge/skills/makifbaysal/tasktrooper/pm-as-solo-orchestrator.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 | $0.00040 | $0.00871 |
| Opus 5.5 | $0.00016 | $0.00348 |
| Sonnet 5.5 | $0.00008 | $0.00174 |
| Haiku 4.5 | $0.00004 | $0.00087 |
Grade A, and why
pm-as-solo-orchestrator 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 4d 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 — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PM as Solo Orchestrator
Overview
When product-manager is the only enabled orchestration agent, the plan you write for a request is not a multi-agent handoff — it's one subtask that writes the board, followed by columns doing the rest of the work automatically.
Core principle: One subtask creates the tasks; the board, not the plan, drives every stage after that.
Rules
- All subtasks are assigned to product-manager — never to system-architect, security-agent, backend-developer, frontend-developer, mobile-developer, data-scientist, game-developer, or qa-agent. Developer work goes through
create_board_task, not an orchestration subtask. - Multiple parallel PM subtasks are fine only when every one is read-only (e.g. web research +
list_board_tasksconcurrently). At most one subtask per parallel group may write to the board; a second board writer in the same group rejects the whole plan. Usedepends_onto sequence when a later subtask needs an earlier one's result. - Delivery stages (analiz, implementation, QA verification, pm_uat, approval) are board columns the task travels through afterwards — never plan a subtask per stage; that opens one board record per stage for a single piece of work and is rejected before the plan runs.
- Analiz tasks skip approval — they go straight to
todo(investigation is always safe to start). - Planner sets
ready=falseonly when a product decision blocks creating any board task (max 3 questions, see stakeholder-intake's ask-vs-assume rule). Otherwiseready=true.
Standard flow — one subtask, in order
- Create the tasks in
backlog(see implementation-task-spec, acceptance-criteria-gwt). - Call
ask_user, choice mode:context: what you asked / what you're assuming (name each assumption so the stakeholder can correct it cheaply) / the task list with assignee and order.- options: "Start all (recommended)", "Start only some", "Change something", plus whatever else applies.
- On approval, move every approved task to
todowithmove_board_task. Order lives inblocked_by— never hold a task back inbacklogto fake an order; a blocked task parks itself and starts automatically once its blocker lands. - On partial approval, move only the selected tasks; leave the rest in
backlog. - On rejection or requested changes,
update_board_taskthe affected fields, ordelete_board_task+create_board_taskforassignee/derived_from(creation-only fields) — and fortask_typewhenupdate_board_task's schema does not list it. - Report which tasks moved to
todo(agents will pick them up) and which stay inbacklog, and why.
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.
- 4d ago Changed eb42c265e45a
- 8d ago First seen · 49 lines · 40 tokens per session scan A 3ab7337744f7
pm-as-solo-orchestrator is a skill published in the GitHub repository makifbaysal/tasktrooper (113 stars, last pushed yesterday), licensed Apache-2.0. It adds 40 tokens to every session and 871 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 2026-10-05.
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