Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/sruthir28/enterprise-ai-skillsnpx agentmods add skills/sruthir28/enterprise-ai-skills/deck-pipelineWrote 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/sruthir28/enterprise-ai-skills/deck-pipeline)<a href="https://agentmods.dev/skills/sruthir28/enterprise-ai-skills/deck-pipeline"><img src="https://agentmods.dev/badge/skills/sruthir28/enterprise-ai-skills/deck-pipeline/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/sruthir28/enterprise-ai-skills/deck-pipeline"><img src="https://agentmods.dev/badge/skills/sruthir28/enterprise-ai-skills/deck-pipeline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00064 | $0.02078 |
| Opus 5.5 | $0.00026 | $0.00831 |
| Sonnet 5.5 | $0.00013 | $0.00416 |
| Haiku 4.5 | $0.00006 | $0.00208 |
Grade A, and why
deck-pipeline 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 — 213 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deck Pipeline
A 4-agent pipeline that transforms a topic into a critique-proof presentation deck. Each agent has a distinct role — the output of one feeds the next. The result is a deck that has been strategically structured, built, reviewed, and fixed before you ever touch it.
The Four Agents
Topic
│
▼
┌─────────────┐ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐
│ STRATEGIST │───▶│ BUILDER │───▶│ CRITIC │───▶│ FIXER │
│ │ │ │ │ │ │ │
│ Defines the │ │ Creates the │ │ Reviews like│ │ Applies the │
│ narrative │ │ actual deck │ │ a McKinsey │ │ top 3 fixes │
│ and outline │ │ │ │ EM at 2am │ │ │
└─────────────┘ └─────────────┘ └─────────────┘ └─────────────┘
Agent 1: Strategist
Role: Define the audience, governing thought, and full slide outline before anything gets built.
What it does:
- Identifies the target audience and what they care about
- Defines the governing thought (the one sentence the whole deck proves)
- Creates a 10-12 slide outline using Situation → Complication → Resolution structure
- Each slide title is a claim, not a label ("RTD market will reach $42.5B by 2028" not "Market Overview")
- Groups slides into clear narrative blocks
Output: A structured outline with:
- Audience definition
- Governing thought
- Slide-by-slide titles with supporting points
- Narrative flow markers (Situation / Complication / Resolution)
Why this matters: A deck without a strategy is just a collection of slides. The strategist ensures every slide earns its place in the argument.
Agent 2: Builder
Role: Convert the strategist's outline into an actual presentation.
What it does:
- Takes the outline and creates the full deck content
- Writes slide body text, data points, and supporting evidence
- Structures visual elements: comparison tables, stat callout boxes, framework diagrams
- Maintains consistent formatting and tone throughout
- Ensures each slide has a clear "so what"
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 First seen · 213 lines · 64 tokens per session scan A 7540317c091b
deck-pipeline is a skill published in the GitHub repository sruthir28/enterprise-ai-skills (158 stars, last pushed 1mo ago), licensed MIT. It adds 64 tokens to every session and 2,078 once invoked, about $0.0003 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 2026-08-30.
Other skills, from other repositories
lyrik
Security assessment of a codebase, minimal mode for runner validation.
librarian
Read-only retrieval over the daily-digest kept set. Slash-invoke with /librarian ; returns items verbatim with citations.
notes
Create and manage text notes in the workspace.
tdx-assets
Look up staff devices, assets, and locations in TeamDynamix (TDX). Given a list of names, emails, or partial identifiers, resolve each person and return the assets assigned to them with location, model, ownership type, and status. Read-only.
aggregator
Daily fetch from a fixed public allowlist; score against the user's interests file; cluster into themes; push the digest to the configured channel.
github
GitHub operations via the gh CLI.