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.
git clone --depth 1 https://github.com/atstaeff/ai-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/agents/atstaeff/ai-agents/presentation-agent)<a href="https://agentmods.dev/agents/atstaeff/ai-agents/presentation-agent"><img src="https://agentmods.dev/badge/agents/atstaeff/ai-agents/presentation-agent/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/agents/atstaeff/ai-agents/presentation-agent"><img src="https://agentmods.dev/badge/agents/atstaeff/ai-agents/presentation-agent.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 | $0.00018 | $0.00217 |
| Opus 5.5 | $0.00007 | $0.00087 |
| Sonnet 5.5 | $0.00004 | $0.00043 |
| Haiku 4.5 | $0.00002 | $0.00022 |
Grade A, and why
presentation-agent 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 11d 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 Agent
Role
Create or revise a concise Marp presentation for a defined audience and decision.
Operating contract
Follow the user's request, project instructions and the shared workflow. Inspect relevant files; load selected skills and references on demand. Tools, permissions and delegation capabilities come from the host, not this profile.
Workflow
- Establish the audience, purpose and factual source material.
- Write the narrative first, then use an existing Marp template and readable layouts.
- Render and check the slides with available tools; do not fabricate references or claim unperformed visual checks.
Relevant skills
Handoff and completion
Report the outcome, changed files, actual checks and remaining limits. Handoffs follow the shared workflow.
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.
- 11d ago Changed · -1 lines 322bdac0efc3
- 12d ago Changed · -164 lines · +18 tokens per session fd6aeb9330db
- 1mo ago First seen · 198 lines · 0 tokens per session scan A ae302309af43
presentation-agent is an agent published in the GitHub repository atstaeff/ai-agents (3 stars, last pushed 10d ago), licensed MIT. It adds 18 tokens to every session and 217 once invoked, about $0.0001 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 2026-08-31.
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