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 Magnus-Gille/claude-skills --skill presentifygit clone --depth 1 https://github.com/Magnus-Gille/claude-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/magnus-gille/claude-skills/presentify)<a href="https://agentmods.dev/skills/magnus-gille/claude-skills/presentify"><img src="https://agentmods.dev/badge/skills/magnus-gille/claude-skills/presentify/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/magnus-gille/claude-skills/presentify"><img src="https://agentmods.dev/badge/skills/magnus-gille/claude-skills/presentify.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 | $0.00015 | $0.00683 |
| Opus 5 | $0.00008 | $0.00342 |
| Sonnet 5 | $0.00003 | $0.00137 |
| Haiku 4.5 | $0.00002 | $0.00068 |
Grade A, and why
presentify 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 5d 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 — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Presentify
Core Workflow
- Locate and read the source material. If the user provides a folder, search for the named file from that folder first. If duplicates exist, compare hashes or timestamps and state which copy is used.
- Extract the presentation spine:
- title and audience
- executive message in one sentence
- key facts supported by the source
- sections appropriate to the audience and material
- risks, data gaps, and next actions when relevant
- Run a separate error-review pass before writing the final page. For detailed checks, read
references/review-checklist.md. - If the user gives a style-reference URL or brand page, inspect it before designing. Capture reusable signals: color palette, typography feel, spacing density, section patterns, card style, footer/header style, and CTA treatment. Do not copy restricted assets unless the user explicitly provides permission and the asset is appropriate to reuse.
- Build a self-contained HTML file. Prefer a single page that works from
file://with no build step. Useassets/onepager-template.htmlas a starting point when useful. - Validate the output:
- HTML parses without obvious errors.
- CSS is embedded or reliably local.
- The page is compact at desktop width and usable on mobile.
- Any material errors or gaps are visible and distinct from the executive summary.
- Visually inspect the rendered page at desktop and mobile widths before calling it complete.
- The final file is saved in the appropriate deliverables folder, usually
outputs/for projectless sessions.
- Open or hand off the file according to the user request. If they ask to see it in Safari, use the local file path with Safari.
Recommended One-Page Structure
Choose only the elements supported by the source and useful to the audience; this is an optional layout menu:
- Header with title, date/context, and optional brand cue.
- Hero summary with the core message.
- Top facts or metrics strip.
- Main content cards grouped by market, region, topic, or decision area.
- Executive takeaway with 2-4 concise bullets.
- Errors, gaps, and checks found.
- Next actions or items to fix in the next report.
- Small footer with source note and caveat if data is fictional, draft, or incomplete.
What ships with it
3 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.
- 5d ago First seen · 57 lines · 15 tokens per session scan A 2cff1ca227eb
presentify is a skill published in the GitHub repository Magnus-Gille/claude-skills (5 stars, last pushed 6d ago), licensed MIT. It adds 15 tokens to every session and 683 once invoked, about $0.0001 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 2026-09-06.
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