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 zeenie-ai/OpenCompany --skill task-managergit clone --depth 1 https://github.com/zeenie-ai/OpenCompanyWrote 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/zeenie-ai/opencompany/task-manager)<a href="https://agentmods.dev/skills/zeenie-ai/opencompany/task-manager"><img src="https://agentmods.dev/badge/skills/zeenie-ai/opencompany/task-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/zeenie-ai/opencompany/task-manager"><img src="https://agentmods.dev/badge/skills/zeenie-ai/opencompany/task-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 | $0.00029 | $0.01229 |
| Opus 5 | $0.00015 | $0.00615 |
| Sonnet 5 | $0.00006 | $0.00246 |
| Haiku 4.5 | $0.00003 | $0.00123 |
Grade A, and why
task-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 10d 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 — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Task Manager
Use task_manager as the team lead's durable control plane. It is scoped to
the current workflow execution and only permits assignment to agents connected
to this lead's input-teammates handle.
Required workflow
- Call
list_taskswithinclude_history=truebefore assigning work so you do not duplicate a mission from an earlier workflow execution. - Split independent work into bounded tasks with explicit acceptance criteria.
- Call
assign_taskonce per mission. Use the connected teammate node ID or the exact delegate name reported by the lead's available teammate list. Do not calldelegate_to_*directly; delegate descriptors are internal dispatch identities, not the lead's task-creation interface. - Independent tasks may be assigned together. The durable queue starts at most
three descendants across the whole agent tree; excess tasks remain queued.
After
assign_taskreturnsqueued, report that delegation started and return immediately. Do not poll or wait in the assigning invocation. - When a teammate submits work or an attempt fails, call
get_task, then useinspect_task_tracebefore retrying, reassigning, or reporting a terminal failure. Start withdetail="summary"; usefailuresor a paginatedtimelineonly when the summary does not explain the outcome. For large histories usedetail="search"with a narrowquery, inspect the returned context lines, and follownext_cursoruntil the match is found or the cursor is empty. Prefercategoriesandall_termsover broad searches. Copytask.idtotask_idandtask.revisiontoexpected_revisionfor the review mutation. - Choose exactly one review outcome:
accept_taskwhen the result satisfies the task;modify_taskfor blocked or queued work;retry_taskwhen the mission is still valid;reassign_taskto another connected teammate with revision context;cancel_taskwhen the work is no longer needed.
- Call
finish_teamonly after every required task is accepted or intentionally cancelled. Synthesize accepted results in the final report and disclose any unresolved failure.
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.
- 10d ago First seen · 100 lines · 29 tokens per session scan A d5cc073ef314
task-manager is a skill published in the GitHub repository zeenie-ai/OpenCompany (878 stars, last pushed today), licensed MIT. It adds 29 tokens to every session and 1,229 once invoked, about $0.0001 per session on Opus 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 2026-08-30.
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