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 BingHanOfUESTC/open_agent_team --skill presentation-storyline-designgit clone --depth 1 https://github.com/BingHanOfUESTC/open_agent_teamWrote 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/binghanofuestc/open_agent_team/presentation-storyline-design)<a href="https://agentmods.dev/skills/binghanofuestc/open_agent_team/presentation-storyline-design"><img src="https://agentmods.dev/badge/skills/binghanofuestc/open_agent_team/presentation-storyline-design/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/binghanofuestc/open_agent_team/presentation-storyline-design"><img src="https://agentmods.dev/badge/skills/binghanofuestc/open_agent_team/presentation-storyline-design.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 | $0.00000 | $0.00242 |
| Opus 5 | $0.00000 | $0.00121 |
| Sonnet 5 | $0.00000 | $0.00048 |
| Haiku 4.5 | $0.00000 | $0.00024 |
Grade A, and why
presentation-storyline-design 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 7d 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
Presentation Storyline Design
Use this skill to convert material and research into a coherent deck structure.
Core Model
Every deck must answer:
Who is the audience?
What decision or understanding should change?
What is the one controlling message?
What evidence order makes that message credible?
What action should happen after the deck?
Common Structures
Decision deck:
Context -> Problem -> Options -> Evidence -> Recommendation -> Next steps
Strategy deck:
Current state -> Market/constraints -> Opportunity -> Strategic choices -> Roadmap
Research deck:
Question -> Method -> Findings -> Interpretation -> Implications
Sales deck:
Customer pain -> Insight -> Solution -> Proof -> Offer -> Next step
Training deck:
Why it matters -> Concept -> Example -> Practice -> Checklist
Slide List Fields
slide_id
section
purpose
headline_draft
evidence_needed
recommended_visual
transition_from_previous
Rules
One slide, one job.
Use headlines as claims, not labels.
Create chapter transitions.
Put dense explanation in speaker notes, not the slide body.
Cut slides that do not advance the audience.
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.
- 7d ago First seen · 57 lines · 0 tokens per session scan A a901bfddf233
presentation-storyline-design is a skill published in the GitHub repository BingHanOfUESTC/open_agent_team (106 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 242 tokens. 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 2026-09-03.
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