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 MelonS/MelonS-Agents --skill info-shortgit clone --depth 1 https://github.com/MelonS/MelonS-AgentsWrote 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/melons/melons-agents/info-short)<a href="https://agentmods.dev/skills/melons/melons-agents/info-short"><img src="https://agentmods.dev/badge/skills/melons/melons-agents/info-short/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/melons/melons-agents/info-short"><img src="https://agentmods.dev/badge/skills/melons/melons-agents/info-short.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 72 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00109 | $0.00965 |
| Opus 5.5 | $0.00044 | $0.00386 |
| Sonnet 5.5 | $0.00022 | $0.00193 |
| Haiku 4.5 | $0.00011 | $0.00097 |
Grade A, and why
info-short 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 — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
info-short (정보쇼츠)
Turn an evergreen topic into a sourced, license-clean 60-second explainer short — through four teams, with a legal gate before it can be released.
How to invoke
/info-short "<topic>"
/info-short "Why the sky is blue — and why sunsets are red"
/info-short "The Antikythera mechanism — a 2000-year-old analog computer"
If no topic is given, ask for one. Optionally pass a short id:
/info-short "<topic>" --id=skyblue.
What runs (the four teams)
This skill hands the topic to the content-director, which sequences:
- 리서치팀 (research-team) →
resources/research.json: an angle + hook, claims each tied to a real fact source it actually read, per-beat stock visual terms, and risk flags. Evergreen — no recency gate. - 제작팀 (production-team) →
outputs/short.mp4viaagents/missions/content-short/run.sh --profile=info(faceless core: ollama script → Kokoro TTS → whisper captions → Pexels B-roll → 9:16 render with burned captions + source attribution). - 법률팀 (legal-team) ⇄ 제작팀 →
legal/legal-verdict.json: license gate (guard_publish) + accuracy / unverifiable-claim / disclosure checks. AREVISEreturns a fix list to production; re-render; re-review untilPASS. - 출시팀 (release-team) →
release/: per-platform title/description/tags, thumbnail, attribution manifest, disclosure lines, andPUBLISH-CHECKLIST.md.
Headless quick path (no research subagent)
For a fast draft with ollama-only scripting (no web-sourced claims), the deterministic spine runs standalone:
agents/missions/content-short/run.sh skyblue --profile=info \
--topic="Why the sky is blue" --stage=all
This produces + runs the deterministic legal gate + (on PASS) the release
package — but skips the sourced-research and legal-judgment stages, so it's a
draft, not a release-grade short. Prefer the full /info-short flow for upload.
What it produces
outputs/short.mp4— 1080×1920, ~60s, burned captions + Pexels attribution.legal/legal-verdict.json— the gate result + any fix list.release/— upload-ready copy + thumbnail + checklist (manual upload only).
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 · 78 lines · 109 tokens per session scan A 9dcf511f82b3
info-short is a skill published in the GitHub repository MelonS/MelonS-Agents (17 stars, last pushed 2mo ago), licensed MIT. It adds 109 tokens to every session and 965 once invoked, about $0.0004 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.
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