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 ai-analyst-lab/ai-analyst-plugin --skill deck-rescuegit clone --depth 1 https://github.com/ai-analyst-lab/ai-analyst-pluginWrote 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/ai-analyst-lab/ai-analyst-plugin/deck-rescue)<a href="https://agentmods.dev/skills/ai-analyst-lab/ai-analyst-plugin/deck-rescue"><img src="https://agentmods.dev/badge/skills/ai-analyst-lab/ai-analyst-plugin/deck-rescue.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 219 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00106 | $0.03179 |
| Opus 5 | $0.00053 | $0.01589 |
| Sonnet 5 | $0.00021 | $0.00636 |
| Haiku 4.5 | $0.00011 | $0.00318 |
Grade A, and why
deck-rescue 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 8d 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 — 242 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Deck Rescue
Purpose
Take a bad deck end-to-end and produce a complete rewrite: new narrative arc, new action headlines, decluttered evidence, and clear asks. Outputs a new Marp deck plus a before/after comparison document.
When to Use
Apply this skill when:
- A deck scores D or F on
/deck-critique— needs a complete rewrite, not slide-level fixes - The user asks to "rescue", "rewrite", or "redo" an entire deck from scratch
- The presentation-doctor agent prescribes a full rescue based on diagnosis severity
This skill can be invoked directly as /deck-rescue or called by the presentation-doctor orchestrator agent.
Inputs
{{DECK_SOURCE}}: Path to original Marp.marp.mdfile OR Google Slides presentation ID/URL{{AUDIENCE}}: Who the presentation is for (required for rescue — cannot rewrite without knowing the audience){{CONTEXT}}(optional): What decision or meeting this deck supports{{CRITIQUE}}(optional): Path to the deck critique from/deck-critique— saves re-diagnosis time{{STORY}}(optional): Path to story extraction from the story-extractor agent — if provided, skips Step 2{{THEME}}(optional): theme to apply — defaults toanalyticsper the auto-selection table inreference/presentation-standards.md(Marp-format analyst deliverables default light); passanalytics-darkfor workshop/talk contexts
Instructions
Rescue Pipeline
The full rescue is a 7-step pipeline. If {{CRITIQUE}} or {{STORY}} are provided, the corresponding steps are shortened or skipped.
Step 1: Diagnose (or load critique)
If {{CRITIQUE}} is provided: Read the critique file and extract the per-slide scores, anti-patterns, and prescription. Skip to Step 2.
If not: Run the /deck-critique skill on {{DECK_SOURCE}}. Save to working/deck_critique_{{DATE}}.md.
Confirm the grade is D or F. If the grade is B or C, suggest /slide-transform instead — a full rescue may be overkill.
What ships with it
1 file 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.
- 8d ago First seen · 242 lines · 106 tokens per session scan A f0a0a9ba0d77
deck-rescue is a skill published in the GitHub repository ai-analyst-lab/ai-analyst-plugin (32 stars, last pushed 11d ago), licensed MIT. It adds 106 tokens to every session and 3,179 once invoked, about $0.0005 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 2026-08-30.
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