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 MountainUnicorn/add --skill awaygit clone --depth 1 https://github.com/MountainUnicorn/addWrote 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/mountainunicorn/add/away)<a href="https://agentmods.dev/skills/mountainunicorn/add/away"><img src="https://agentmods.dev/badge/skills/mountainunicorn/add/away/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/mountainunicorn/add/away"><img src="https://agentmods.dev/badge/skills/mountainunicorn/add/away.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 | $0.00017 | $0.01119 |
| Opus 5.5 | $0.00007 | $0.00448 |
| Sonnet 5.5 | $0.00003 | $0.00224 |
| Haiku 4.5 | $0.00002 | $0.00112 |
Grade A, and why
away 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 2mo 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 — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ADD Away Command v{{VERSION}}
The human is stepping away. Establish what work can proceed autonomously and what must wait.
Phase 1: Understand the Absence
Parse the duration from $ARGUMENTS. If not provided, default to 2 hours. Do not ask — just acknowledge the default:
"No duration specified — I'll plan for a 2-hour session. Say /add:away 4 hours next time to adjust."
Phase 2: Assess Available Work
- Read
.add/config.jsonfor autonomy level and environment tier - Re-read
docs/prd.mdto ground yourself in the project's objectives and scope — this keeps autonomous work aligned with the product vision - Scan
specs/for specs with status "Approved" or "Implementing" - Scan
docs/plans/for plans with status "Approved" or "In Progress" - Check current git status for in-progress work
- Run TodoWrite to see current task list
Categorize Work
Autonomous (can do without human):
- Tasks with clear specs and plans where requirements are unambiguous
- Writing tests for specced features (RED phase)
- Implementing against existing failing tests (GREEN phase)
- Refactoring with test coverage (REFACTOR phase)
- Running quality gates and fixing lint/type errors
- Writing documentation for completed features
- Code review of existing PRs
Queued (needs human decision):
- Any task where the spec is ambiguous or missing
- Architecture decisions with multiple valid approaches
- Deployment to staging or production
- New feature specs (need interview)
- Dependency upgrades with breaking changes
- Anything that would benefit from a Decision Point
Phase 3: Present the Plan
Got it — you'll be away for approximately {DURATION}.
AUTONOMOUS WORK PLAN:
━━━━━━━━━━━━━━━━━━━
{numbered list of tasks, with spec references}
Estimated completion: {rough estimate}
QUEUED FOR YOUR RETURN:
━━━━━━━━━━━━━━━━━━━━━
{numbered list of decisions/tasks that need human input}
I'll maintain a work log and have a return briefing ready.
Phase 4: Get Confirmation
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.
- 2mo ago First seen · 121 lines · 17 tokens per session scan A f539aff08522
away is a skill published in the GitHub repository MountainUnicorn/add (11 stars, last pushed 13d ago), licensed MIT. It adds 17 tokens to every session and 1,119 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.
away compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| awayMountainUnicorn/add | Skill | 11 | 13d ago | MIT | A | 17 | Claude Code |
| swarmrmzi/portable-dev-system | Skill | 24 | 3mo ago | none | A | 24 | Claude Code |
| finishrmzi/portable-dev-system | Skill | 24 | 3mo ago | none | A | 26 | Claude Code |
| grillrmzi/portable-dev-system | Skill | 24 | 3mo ago | none | A | 28 | Claude Code |
| teamrmzi/portable-dev-system | Skill | 24 | 3mo ago | none | A | 23 | Claude Code |
| ticketrmzi/portable-dev-system | Skill | 24 | 3mo ago | none | A | 45 | Claude Code |
| triagermzi/portable-dev-system | Skill | 24 | 3mo ago | none | A | 24 | Claude Code |