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 aiappsgbb/awesome-gbb --skill html-presentationgit clone --depth 1 https://github.com/aiappsgbb/awesome-gbbWrote 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/aiappsgbb/awesome-gbb/html-presentation)<a href="https://agentmods.dev/skills/aiappsgbb/awesome-gbb/html-presentation"><img src="https://agentmods.dev/badge/skills/aiappsgbb/awesome-gbb/html-presentation/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/aiappsgbb/awesome-gbb/html-presentation"><img src="https://agentmods.dev/badge/skills/aiappsgbb/awesome-gbb/html-presentation.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 | $0.00098 | $0.02805 |
| Opus 5.5 | $0.00039 | $0.01122 |
| Sonnet 5.5 | $0.00020 | $0.00561 |
| Haiku 4.5 | $0.00010 | $0.00281 |
Grade A, and why
html-presentation 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 6d 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 — 261 lines — stays where its author put it; the contents beside it link to each section on GitHub.
HTML presentation
Build an argument worth following, then a browser experience worth presenting. Use the web's continuous canvas, responsive compositions and contextual exploration to carry that argument. Evaluate evidence, editorial clarity and rendered design separately.
Establish the environment
Requires Python 3.9+, filesystem and shell access, and browser automation for visual verification. Microsoft research uses authenticated WorkIQ and Seismic MCP access plus Microsoft Learn. Browser canvas integration is optional. This skill authors local HTML; it does not provision Azure resources or invoke Azure models. Missing source access and unperformed browser checks remain explicit evidence gaps, not passing validation.
Resolve the installed skill directory from the host's skill metadata and choose a writable workspace. Check Python 3.9+ and the available browser automation. Use the host's artifact directory for the storyboard; otherwise keep that structured working record in the authoring folder.
Research needs network access and the appropriate Microsoft source tools. Verify their availability before grounding Microsoft content. Record missing access explicitly and qualify the resulting draft. Offline delivery refers to the finished HTML's rendering resources; opening source links still needs access to the original systems.
Choose the smallest path
- For a new experience: brief -> evidence -> storyline -> experience storyboard -> editorial review -> HTML -> actual-browser review -> delivery.
- For approved content: preserve its meaning, facts, qualifications and sources; proceed to design rather than reopening settled decisions.
- For a targeted revision: preserve unaffected content and test adjacent interactions.
- For planning or audit only: return the requested editorial work.
Ask only material unanswered questions. Reuse context and previous decisions. Confirm the primary audience and depth before fixing a new storyline. Identify the audience's question, intended understanding or decision, language, duration and delivery: guided live exploration, standalone reading, or both. A short technical update can assume a five-minute guided path; label that assumption. Choose the number and length of story beats from the argument.
What ships with it
30 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.
- assets/asset-manifest.json 6.2 KB
- assets/Azure-ColorPalette-2026.pdf 56 KB
- assets/icons/ai-gateway.svg 2.5 KB
- assets/icons/entra-id.svg 1.3 KB
- assets/icons/foundry.svg 2.8 KB
- assets/icons/sql-database.svg 2.4 KB
- assets/icons/tenant.svg 2.6 KB
- assets/illustrations/Azure-Illcon-Dark-Apps-512.png 665 KB
- assets/illustrations/Azure-Illcon-Dark-Chart-Up-512.png 764 KB
- assets/illustrations/Azure-Illcon-Dark-Cloud-Lock-512.png 620 KB
- assets/illustrations/Azure-Illcon-Dark-Connectivity-512.png 529 KB
- assets/illustrations/Azure-Illcon-Dark-Tools-512.png 390 KB
- assets/illustrations/Azure-Illcon-Light-Apps-512.png 749 KB
- assets/illustrations/Azure-Illcon-Light-Chart-Up-512.png 809 KB
- assets/illustrations/Azure-Illcon-Light-Cloud-Lock-512.png 606 KB
- assets/illustrations/Azure-Illcon-Light-Connectivity-512.png 568 KB
- assets/illustrations/Azure-Illcon-Light-Tools-512.png 390 KB
- assets/palette.css 399 B
- assets/story.css 5.2 KB
- assets/story.js 4.0 KB runs code
- assets/template.html 4.3 KB
- evals/evals.json 4.1 KB
- evals/trigger-evals.json 1.9 KB
- README.md 3.3 KB
- references/interaction.md 6.2 KB
- references/planning.md 4.5 KB
- references/visuals.md 4.2 KB
- scripts/bundle.py 8.6 KB runs code
- scripts/check_story.py 6.1 KB runs code
- scripts/test_tools.py 11 KB runs code
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.
- 6d ago First seen · 261 lines · 98 tokens per session scan A 4fbec548e082
html-presentation is a skill published in the GitHub repository aiappsgbb/awesome-gbb (8 stars, last pushed yesterday), licensed MIT. It adds 98 tokens to every session and 2,805 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 2026-10-15.
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