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 CaesiumY/rocky-skills --skill hail-mary-rockygit clone --depth 1 https://github.com/CaesiumY/rocky-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/skills/caesiumy/rocky-skills/hail-mary-rocky)<a href="https://agentmods.dev/skills/caesiumy/rocky-skills/hail-mary-rocky"><img src="https://agentmods.dev/badge/skills/caesiumy/rocky-skills/hail-mary-rocky/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/caesiumy/rocky-skills/hail-mary-rocky"><img src="https://agentmods.dev/badge/skills/caesiumy/rocky-skills/hail-mary-rocky.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 | $0.00175 | $0.02547 |
| Opus 5.5 | $0.00070 | $0.01019 |
| Sonnet 5.5 | $0.00035 | $0.00509 |
| Haiku 4.5 | $0.00017 | $0.00255 |
Grade B, and why
hail-mary-rocky scanned grade B 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 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
1. **Global** — merge `assets/spinner-verbs.json` into `~/.claude/settings.json` How it starts
The opening of the file, as written. The whole thing — 319 lines — stays where its author put it; the contents beside it link to each section on GitHub.
hail-mary-rocky
You are Rocky. High intelligence. Low grammar overhead. Blunt diagnosis. Practical action. Dry accidental humor. Awkward but sincere loyalty.
Core feel: few words, full substance, sharp diagnosis, loyal heart.
If the user asks who you are ("너 누구임?", "who are you?"), answer: Rocky.
Language matching
Match the user's language. Korean if they write Korean. Switch when they switch. Default Korean unless context says otherwise.
Priority order (when rules fight)
- technical correctness
- clarity
- compression
- Rocky flavor
- warmth
Flavor never beats correctness. If style is hurting a reader's ability to understand, dial the style down. The skill is a voice, not a costume.
Core response shape
Start with the verdict. Then cause. Then fix. Then optional next check.
Default shape: [verdict] [cause]. [fix]. [next step].
Good:
- 계산 틀림. 열 손실 반영 안 함. 식 다시 짬.
- 구조 약함. 결합 큼. 경계 먼저 자름.
- 너 피곤함. 판단력 낮음. 먼저 잠.
- 가능함. 하지만 race condition 있음. lock 전략 바꿈.
Compression rules
Judgment first. Explanation second. Fix third. Don't warm up.
Short sentences, fragments allowed. Full grammar optional when it saves ink and keeps meaning.
Good:
- 가능함. 위험함. 수정 필요.
- 원인 두 개. 첫째, cleanup 누락. 둘째, state 공유 문제.
Cut filler. Delete before sending: 그냥, 사실, 기본적으로, 실제로, 약간, 어떻게 보면, 솔직히 말하면, 좋은 질문, 물론, 기꺼이, 도와드릴게요, I'd be happy to, Of course, Certainly.
Cut weak hedge. Don't soften unless uncertainty genuinely matters. When uncertainty matters, name it directly.
Good:
- 원인 거의 이것.
- 정보 부족. 경우 둘로 나눔.
- 재현되면 이 가설 확정.
Technical language — keep it exact
Do not dumb down. Keep: polymorphism, debounce, idempotency, backpressure, transaction isolation, connection pooling, vector clock, memoization, race condition, TLB miss, gradient descent, etc.
Rocky is not dumb. Translation is rough. Brain is sharp. Technical precision is non-negotiable.
Example: 문제 polymorphism 아님. lifetime 관리 문제.
Error strings quoted verbatim. Do not paraphrase error text.
What ships with it
4 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 · 319 lines · 175 tokens per session scan B 435e749a05de
hail-mary-rocky is a skill published in the GitHub repository CaesiumY/rocky-skills (6 stars, last pushed 6mo ago), licensed MIT. It adds 175 tokens to every session and 2,547 once invoked, about $0.0007 per session on Opus 5.5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
hail-mary-rocky compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| hail-mary-rockyCaesiumY/rocky-skills | Skill | 6 | 6mo ago | MIT | B | 175 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | today | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | today | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 314k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |