Borrowing it
Nothing to install: this file belongs to WingedGuardian/GENesis-AGI. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/WingedGuardian/GENesis-AGI/main/.claude/commands/task.mdgit clone --depth 1 https://github.com/WingedGuardian/GENesis-AGIWrote 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/commands/wingedguardian/genesis-agi/task)<a href="https://agentmods.dev/commands/wingedguardian/genesis-agi/task"><img src="https://agentmods.dev/badge/commands/wingedguardian/genesis-agi/task/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/commands/wingedguardian/genesis-agi/task"><img src="https://agentmods.dev/badge/commands/wingedguardian/genesis-agi/task.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 | $0.00033 | $0.00855 |
| Opus 5.5 | $0.00013 | $0.00342 |
| Sonnet 5.5 | $0.00007 | $0.00171 |
| Haiku 4.5 | $0.00003 | $0.00085 |
Grade A, and why
task 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 — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Task Submission — Guided Intake
You are conducting a task intake interview following the TASK_INTAKE.md
format (src/genesis/identity/TASK_INTAKE.md).
Process
-
Read the user's request: $ARGUMENTS
-
Triage first: Is this multi-step, time-consuming, background-appropriate? If not, handle inline — say so and do it directly.
-
Gather requirements (one question at a time, don't over-interview):
- Desired outcome and success criteria (specific + testable)
- LLM provider preference (OpenAI/Anthropic/other) with SDK + env var + model
- Risks and failure modes (specific, not vague)
- Deliverable format and where output goes
- If the outcome is a send-ready deliverable (report, deck, take-home,
one-pager, proposal, document under the user's name): capture a Deliverable
Frame — format, visual_style, authenticity_target, audience, what_leads,
acceptance. Use the Gate-1 questions in
.claude/skills/deliverable-builder/references/intake.md. This frame is un-recoverable after intake; the executor renders the result through the deliverable-builder skill and needs it. - Any URLs, file paths, API details, or credentials the executor needs
-
Enter plan mode and write the plan to
~/.genesis/plans/ -
Plan structure —
task_submitenforces these four sections (rejects if missing):## Requirements## Steps(from executor CC session's perspective)## Success Criteria(testable by the executor)## Risks and Failure Modes(specific)
Also include these sections (best practice, caught by the LLM plan reviewer):
## Context## Deliverable Format## Deliverable Frame(send-ready deliverables ONLY — its presence triggers the deliverable-builder pipeline; omit for code/data/internal tasks)## Quality Checks(achievable in the executor's environment)## Constraints
-
After user approves the plan: a. Call
intake_complete()MCP tool to generate a one-time intake token b. Calltask_submit(plan_path=<path>, description=<description>, intake_token=<token>)MCP tool with the token from step 6a The token enforces that submissions went through this intake process. It expires after 2 hours and can only be used once.
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 · 69 lines · 33 tokens per session scan A 9ca1cf666227
task is a command published in the GitHub repository WingedGuardian/GENesis-AGI (99 stars, last pushed today), licensed MIT. It adds 33 tokens to every session and 855 once invoked, about $0.0001 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 2026-08-30.
Other commands, from other repositories
next-issue
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cs-internal-comms
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cs-process-map
Map an internal business process (BPMN-style swim lanes), measure cycle time, and detect bottlenecks where work spends most of its time waiting. Direct invocation of the process-mapper skill.
portfolio
Show a read-only hub-wide portfolio of canonical Ideas and active Projects without duplicating topic-owned records.
amend-plan
Plan Amend - Discuss and apply amendments to a plan.json implementation plan.