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 ai-creed/ai-shakespii --skill skillgit clone --depth 1 https://github.com/ai-creed/ai-shakespiiWrote 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/ai-creed/ai-shakespii/skill)<a href="https://agentmods.dev/skills/ai-creed/ai-shakespii/skill"><img src="https://agentmods.dev/badge/skills/ai-creed/ai-shakespii/skill/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/ai-creed/ai-shakespii/skill"><img src="https://agentmods.dev/badge/skills/ai-creed/ai-shakespii/skill.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 | $0.00030 | $0.00262 |
| Opus 5.5 | $0.00012 | $0.00105 |
| Sonnet 5.5 | $0.00006 | $0.00052 |
| Haiku 4.5 | $0.00003 | $0.00026 |
Grade A, and why
[object Object] 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
{{name}}
Intent
TODO(shakespii): one or two sentences — what capability this skill provides and why it exists.
Inputs
TODO(shakespii): what the skill consumes — arguments, files, context. Mark which are optional.
Preconditions
TODO(shakespii): every external dependency — binaries on PATH, env vars, network access, files, path-layout assumptions. If it can fail before step 1, it belongs here.
Procedure
TODO(shakespii): numbered steps. Calibrate freedom — prose for judgment steps, exact commands for fragile ones.
Output
TODO(shakespii): the deliverable's shape and contract, resolvable from files inside this skill directory — never "obey the handoff format" pointing at unshipped documents.
Examples
TODO(shakespii): at least one concrete input→output worked example. Trigger-phrase lists do not count.
Anti-patterns
TODO(shakespii): common mistakes, rationalizations, and when NOT to use this skill.
What ships with it
2 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.
- 2mo ago First seen · 36 lines · 30 tokens per session scan A e44f7b00c940
[object Object] is a skill published in the GitHub repository ai-creed/ai-shakespii (2 stars, last pushed 3mo ago), licensed MIT. It adds 30 tokens to every session and 262 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.
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