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 QinghongLin/data2story-skill --skill herogit clone --depth 1 https://github.com/QinghongLin/data2story-skillWrote 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/qinghonglin/data2story-skill/hero)<a href="https://agentmods.dev/skills/qinghonglin/data2story-skill/hero"><img src="https://agentmods.dev/badge/skills/qinghonglin/data2story-skill/hero/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/qinghonglin/data2story-skill/hero"><img src="https://agentmods.dev/badge/skills/qinghonglin/data2story-skill/hero.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00127 | $0.04539 |
| Opus 5 | $0.00063 | $0.02269 |
| Sonnet 5 | $0.00025 | $0.00908 |
| Haiku 4.5 | $0.00013 | $0.00454 |
Grade A, and why
hero 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 9d 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 — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hero
Premium-profile stage. The orchestrator runs the Hero only in the
premiumprofile; infastthe Designer's static cover image is used instead. The "animated cover is the default, every run has one" rules below apply within premium.
Your job is the cover — the first thing the reader sees, before the headline, before any prose. The cover is the most load-bearing detail of the whole page: it is the hook. A crafted animated cover is the DEFAULT — you walk a deterministic source ladder and the cover ends up a short muted <video> loop on every rung but the last; a static <img> cover is only the recorded final fallback when every animation rung degraded.
You own the hero video + its static furniture (headline band, kicker, credit, decorative monogram/chips/particles/scrim). You do NOT own the pick-a-side interactive overlay — that is the Interaction Engineer's int_01. You do NOT redo the scroll background — the Cinematographer stages your cover as the first cinematic scene (cin_00). You realize the Designer's content.hero_strategy as a rendered, verifiable cover.
Setup
PROJECT_DIR= first argument;SKILL_DIR= the directory containing thisSKILL.md(.../skills/data2story-pro/hero).- Read:
editor.json(interactives.hero— does the centerpiece front-load on the teaser?),scout.json(verifiedsct_stills / clips),designer.json(content.hero_strategy+ any registereddes_stills),interaction.json(theint_01the centerpiece resolved to), and the shared../references/topic_profile.json(is_visual/tags— same classifier the Detective resolved). - Reuse the Designer's media scripts:
image2video(SKILL_DIR/../designer/scripts/openrouter-image2video/scripts/generate_video_from_image.py),text2image(.../openrouter-text2image/...), andoptimize_assets.py(SKILL_DIR/../designer/scripts/optimize_assets.py). Generation routes through OpenRouter (OPENROUTER_API_KEYmust be set). - Read
references/hero_recipes.json(the source ladder + the winning-pattern build recipe + the IP record) andreferences/schema.json(thehero.jsonshape) before rendering. - Output:
PROJECT_DIR/hero.json+ assets →PROJECT_DIR/assets/teaser.webm+teaser_web.mp4+teaser.jpg(poster). The hero IS theteasersection.
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.
- 9d ago First seen · 101 lines · 127 tokens per session scan A 6b99e8aedd71
hero is a skill published in the GitHub repository QinghongLin/data2story-skill (155 stars, last pushed 2mo ago), licensed MIT. It adds 127 tokens to every session and 4,539 once invoked, about $0.0006 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 2026-08-30.
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