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 kongaharsha/hermes_stack --skill laundry-bookinggit clone --depth 1 https://github.com/kongaharsha/hermes_stackWrote 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/kongaharsha/hermes_stack/laundry-booking)<a href="https://agentmods.dev/skills/kongaharsha/hermes_stack/laundry-booking"><img src="https://agentmods.dev/badge/skills/kongaharsha/hermes_stack/laundry-booking/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/kongaharsha/hermes_stack/laundry-booking"><img src="https://agentmods.dev/badge/skills/kongaharsha/hermes_stack/laundry-booking.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 | $0.00385 |
| Opus 5.5 | $0.00007 | $0.00154 |
| Sonnet 5.5 | $0.00003 | $0.00077 |
| Haiku 4.5 | $0.00002 | $0.00038 |
Grade A, and why
laundry-booking 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.
What it actually says
Laundry Booking
Books a laundry or dry-cleaning pickup using a locally-controlled Chrome instance.
Workflow
- Confirm Intent: Before triggering any automation, state the proposed action (including proposed pickup/drop-off dates) and confirm with the user.
- Setup Browser: Always use headed Chrome (connect to port 9222/headed mode) until requested otherwise (currently planned for the next 4 sessions).
- Data Verification: Read ~/brain/concepts/service-preferences.md.
- Calendar/Scheduling:
- First, ask the user if they want the fastest available slots for both pickup and drop-off, or if they want to review all available options.
- For all dates and times, always confirm the selected windows with the user before final checkout.
- Flow Execution:
- Navigate to provider site.
- Phone auth/2FA as required (user intervention required for codes).
- Wizard steps: Select Pickup Date (check for accordions) -> Time -> Drop-off Date -> Time -> Confirm.
- Always use snapshot -i after navigation to refresh UI state/refs.
- Task Completion: Finalize order and log details in ~/brain/logs/services.md.
Implementation Insights (Riverside Laundromat)
- UI: Multi-step wizard.
- Pitfalls: Persistent sign-in loops (if activation code fails, refresh/re-navigate), stale elements (refresh refs constantly), multi-page transitions (Confirm button does not auto-finish).
- If automated interaction stalls, stop and prompt for manual intervention.
Resilience Patterns
- If automated interaction fails or times out, do NOT retry indefinitely. Stop and inform the user.
- Prefer explicit confirmation for pickup/drop-off windows.
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 · 33 lines · 17 tokens per session scan A 0f1aa07ee648
laundry-booking is a skill published in the GitHub repository kongaharsha/hermes_stack (6 stars, last pushed 6mo ago), licensed MIT. It adds 17 tokens to every session and 385 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 2026-08-31.
laundry-booking compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| laundry-bookingkongaharsha/hermes_stack | Skill | 6 | 6mo ago | MIT | A | 17 | Claude Code, Codex |
| interactive-loginyc-software/qm | Skill | 16k | yesterday | MIT | A | 46 | Claude Code, Codex |
| pinchtab-mcppinchtab/pinchtab | Skill | 11k | 10d ago | MIT | A | 52 | Claude Code, Codex |
| azure-messaging-webpubsub-javamicrosoft/skills | Skill | 3.2k | yesterday | MIT | A | 43 | Claude Code |
| cua-driverdavidondrej/skills | Skill | 4.3k | 3d ago | MIT | A | 68 | Claude Code, Codex |
| open-design-browsercompozy/compozy | Skill | 2.8k | yesterday | MIT | A | 56 | Claude Code, Codex |
| southwestborski/travel-hacking-toolkit | Skill | 895 | yesterday | MIT | A | 40 | Claude Code |