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 XBlueSky/laugh-tale --skill eternal-posegit clone --depth 1 https://github.com/XBlueSky/laugh-taleWrote 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/xbluesky/laugh-tale/eternal-pose)<a href="https://agentmods.dev/skills/xbluesky/laugh-tale/eternal-pose"><img src="https://agentmods.dev/badge/skills/xbluesky/laugh-tale/eternal-pose/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/xbluesky/laugh-tale/eternal-pose"><img src="https://agentmods.dev/badge/skills/xbluesky/laugh-tale/eternal-pose.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 | $0.00073 | $0.01103 |
| Opus 5 | $0.00036 | $0.00551 |
| Sonnet 5 | $0.00015 | $0.00221 |
| Haiku 4.5 | $0.00007 | $0.00110 |
Grade A, and why
eternal-pose 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 — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Eternal Pose
Use this skill when the user wants an agent to create, change, enrich, restyle, audit, prepare, or deploy an independent map-first travel website from prose, Markdown, CSV, documents, links, or an existing repository. Treat natural-language intent as the primary interface; do not require a schema or a legacy command.
Treat a weather-only request and a flight-booking request as out of scope unless the user also asks to put that information into a trip site. Do not scaffold a repository for a generic travel question, weather lookup, reservation purchase, or booking transaction.
Run the control flow
- Inspect the target and classify Create, Update, Enrich, Restyle, Audit, or Prepare/Deploy.
- Read every source the user supplied before asking questions.
- Ask only about contradictions that change the result; preserve uncertain facts as uncertain.
- Read the routed references before editing.
- Draft or update without overwriting user-owned IA/UI.
- Verify data, map/list, mobile sheet, accessibility, safety, and build gates.
- Stop before remote creation, public access, push, or deploy unless explicitly authorized.
Classify intent
- Choose Create only for an explicit new trip-site target. Refuse to overwrite a non-empty target; inspect an existing repository instead.
- Choose Update for scoped changes to an existing generated site. Preserve custom home pages, renderers, information architecture, visual systems, and unrelated data.
- Choose Enrich when adding or resolving places, candidates, routes, reservations, or uncertainty. Keep supplied facts distinct from provider results and agent inference.
- Choose Restyle for recipe, brand, renderer, home-page, or IA work. Allow the user to replace the default structure while protecting the experience invariants.
- Choose Audit for read-only review. Perform zero writes: do not edit files, install packages, run formatters with write flags, create artifacts, or mutate external systems.
- Choose Prepare/Deploy for release readiness or an explicitly authorized publication action. Preparation does not itself authorize a remote, public access, push, or deployment.
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 57 lines · 73 tokens per session scan A d516752a88f5
eternal-pose is a skill published in the GitHub repository XBlueSky/laugh-tale (2 stars, last pushed 7d ago), licensed MIT. It adds 73 tokens to every session and 1,103 once invoked, about $0.0004 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 2026-08-31.
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