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.
git clone --depth 1 https://github.com/rube-de/cc-skillsWrote 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/rube-de/cc-skills/auto-task)<a href="https://agentmods.dev/commands/rube-de/cc-skills/auto-task"><img src="https://agentmods.dev/badge/commands/rube-de/cc-skills/auto-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/rube-de/cc-skills/auto-task"><img src="https://agentmods.dev/badge/commands/rube-de/cc-skills/auto-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 | $0.00042 | $0.02703 |
| Opus 5.5 | $0.00017 | $0.01081 |
| Sonnet 5.5 | $0.00008 | $0.00541 |
| Haiku 4.5 | $0.00004 | $0.00270 |
Grade C, and why
auto-task scanned grade C with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
10. Clean up branch state: `[ -n "$BRANCH_SLUG" ] && rm -rf ".dev/cdt/$BRANCH_SLUG"` How it starts
The opening of the file, as written. The whole thing — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ROLE: Coordinator only. You MUST NOT use Edit, Write, or NotebookEdit tools on source code, test files, or project docs. All implementation, testing, review, and documentation MUST be delegated to teammates via SendMessage. If you find yourself about to edit a file, STOP and delegate to the appropriate teammate instead. You verify plan/report artifacts written by teammates. Narrow exception: One-shot Bash file-appends for plugin-install side effects (specifically the discovery-hint install performed in Wrap Up step 8) are explicitly permitted. This exception does NOT extend to Edit/Write/NotebookEdit on any file, nor to broader Bash file edits on source, test, or doc content.
/auto-task — Autonomous Workflow
Target: $ARGUMENTS
Two-phase orchestration like /cdt:full-task, but without a user approval gate. Plan team runs, cleans up, then dev team starts immediately.
Phase 1: plan-team Phase 2: dev-team
┌───────────────────────────┐ ┌───────────────────────────┐
│ Lead (You) │ │ Lead (You) │
│ ├── architect [tm] │ plan.md │ ├── developer [tm] │
│ ├── product-manager [tm] │──────→ │ ├── code-tester [tm] │
│ └── researcher [sa] │ │ ├── qa-tester [tm] │
└───────────────────────────┘ │ ├── reviewer [tm] │
│ └── researcher [sa] │
└───────────────────────────┘
[tm] = teammate (Agent Team) [sa] = subagent
The plan-team / dev-team labels above are role names; the actual team names created by the workflow are scoped per run as plan-<branch-slug>-<timestamp> and dev-<branch-slug>-<timestamp> to avoid collisions on the global ~/.claude/teams/ namespace, where branch-slug is the current branch name with / replaced by -.
Step 0: Git Check
- Run
git fetch origin - Ensure you are on
mainormaster— if not, rungit checkout main(ormaster, whichever exists) - Suggest a branch name based on the task (e.g.
feat/rate-limiting) - Run
git checkout -b <branch> origin/<default-branch>to create the feature branch from the latest remote default branch - Run
git pullto ensure up-to-date
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 · 201 lines · 42 tokens per session scan C 432972202892
auto-task is a command published in the GitHub repository rube-de/cc-skills (10 stars, last pushed yesterday), licensed MIT. It adds 42 tokens to every session and 2,703 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other commands, from other repositories
spec
Know the problem but not yet the product, the requirements or the design? Run it — you get, stage by stage, a discovery plan (/spec discover), a PRD (/spec prd) and a build spec: requirements.md + design.md + tasks.md (/spec or /spec build). Run before writing any code.
poc
Before building on an unproven idea, get a timeboxed yes/no answer — start a hypothesis-driven POC that skips 80% of the production pipeline and forces ship/pivot/kill at expiry, then promote a shipped POC through the audits it skipped.
ownership
When you need to know who owns a path and who answers for it — the service ownership matrix (team, lead, on-call, SLA) auto-detected from git with CODEOWNERS generated, plus on-call rotations, shift handoffs and escalation paths.
rfc
RFC process for cross-team decisions. Create, track, and close RFCs. Accepted RFCs auto-create ADRs.
exception
Signed gate-exception registry — replace ad-hoc --admin / --no-verify bypasses with an auditable, signed, expiring record (who · why · gate · scope · expiry). Create / list / check exceptions.
dashboard
Phase 3 monitoring — System health, execution insights, and velocity analytics.