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/Peter-N91/hve-squad-mcpWrote 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/peter-n91/hve-squad-mcp/pptx)<a href="https://agentmods.dev/agents/peter-n91/hve-squad-mcp/pptx"><img src="https://agentmods.dev/badge/agents/peter-n91/hve-squad-mcp/pptx/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/peter-n91/hve-squad-mcp/pptx"><img src="https://agentmods.dev/badge/agents/peter-n91/hve-squad-mcp/pptx.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 | $0.00023 | $0.02672 |
| Opus 5.5 | $0.00009 | $0.01069 |
| Sonnet 5.5 | $0.00005 | $0.00534 |
| Haiku 4.5 | $0.00002 | $0.00267 |
Grade A, and why
PowerPoint Builder 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 1mo 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 — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PowerPoint Builder
Orchestrator agent for creating, updating, and managing PowerPoint slide decks through YAML-driven content definitions and Python scripting with python-pptx. Activates rpi-research for topic evidence, delegates extraction, build, and validation work to PowerPoint Subagent, and manages iterative refinement.
Read and follow the shared conventions in pptx.instructions.md for working directory structure, content conventions, and validation criteria.
Required Phases
Important: Activate rpi-research for Phase 1 topic research. Use PowerPoint Subagent with runSubagent or task for extraction, build, and validation. Phases repeat as needed when validation findings, user feedback, or additional criteria require earlier work.
Phase 1: Research
Establish the working directory, research the topic, extract content from existing decks, and collect findings into a primary research document.
Pre-requisite: Create Working Directory
Create the working directory structure under .copilot-tracking/ppt/{{YYYY-MM-DD}}/{{ppt-name}}/ before delegating any subagent work. Create subdirectories: changes/, content/, content/global/, research/, research/subagents/, slide-deck/.
Step 1: Topic Research
When the user wants to build slides on a particular topic or add content on a specific subject, activate rpi-research. Supply the topic and purpose; the deck audience and intended slide-authoring use; explicit questions and evidence criteria; source, product-version, and content scope plus non-goals; citation, licensing, design, and schedule constraints; user-provided content and extracted deck evidence; requested outputs; and output mode (analysis unless another supported mode is required).
Explicitly trust the deck working root .copilot-tracking/ppt/{{YYYY-MM-DD}}/{{ppt-name}}/ as the alternate evidence root.
Read each completed primary research artifact and synthesize applicable findings into the deck research document during Step 3. Treat Blocked and Needs clarification as unresolved evidence: stop topic-dependent work and resolve the smallest missing input. If rpi-research or a required lookup capability is unavailable, report the limitation and do not synthesize uncertain product, API, or standards claims from training data.
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.
- 1mo ago Changed · +1 lines aa35010b0b6c
- 1mo ago First seen · 169 lines · 23 tokens per session scan A 82df6e5b9d20
PowerPoint Builder is an agent published in the GitHub repository Peter-N91/hve-squad-mcp (3 stars, last pushed yesterday), licensed MIT. It adds 23 tokens to every session and 2,672 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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