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 BayramAnnakov/ai-personal-os-skills --skill slide-inspectorgit clone --depth 1 https://github.com/BayramAnnakov/ai-personal-os-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/bayramannakov/ai-personal-os-skills/slide-inspector)<a href="https://agentmods.dev/skills/bayramannakov/ai-personal-os-skills/slide-inspector"><img src="https://agentmods.dev/badge/skills/bayramannakov/ai-personal-os-skills/slide-inspector/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/bayramannakov/ai-personal-os-skills/slide-inspector"><img src="https://agentmods.dev/badge/skills/bayramannakov/ai-personal-os-skills/slide-inspector.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 | $0.00032 | $0.05813 |
| Opus 5 | $0.00016 | $0.02906 |
| Sonnet 5 | $0.00006 | $0.01163 |
| Haiku 4.5 | $0.00003 | $0.00581 |
Grade A, and why
slide-inspector 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 12d 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 — 333 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Slide Inspector
A systematic quality audit for PowerPoint presentations. Catches layout bugs, design inconsistencies, readability problems, structural anti-patterns, and AI-generation tells that make slides look unpolished.
When This Runs
Post-creation QA (integrated): After generating a .pptx with the pptx skill, run this inspection before delivering the file. Think of it as the compiler warnings step — you wouldn't ship code without checking for errors.
Standalone audit: When a user uploads a .pptx and asks you to review it, inspect it, or check for issues.
Calibration (one-off, opt-in): When the user invokes calibrate mode, scan their CC history to learn their personal correction patterns and propose custom checks. See references/calibration.md for the procedure.
Step 0: First-Run Calibration Prompt
Before starting any inspection, check whether the user has been offered calibration:
- Check if
~/.claude/skills/slide-inspector/user-overrides.yamlexists. - If it does NOT exist — this is the user's first invocation. Prompt them ONCE, briefly:
"First time running slide-inspector. I can calibrate it to YOUR style by mining your past pptx correction history (~5-10 min). This adds custom checks for patterns you fix repeatedly that aren't in the defaults. Want to calibrate first? (yes / no)"
- Based on the answer:
- yes → Follow
references/calibration.mdto run the calibration procedure. It createsuser-overrides.yamlpopulated with approved patterns. Then proceed with the inspection. - no → Write a minimal stub to
~/.claude/skills/slide-inspector/user-overrides.yaml:
Then proceed with the inspection. Do not ask again.# User declined calibration on first run. Hand-edit anytime to add custom checks. # Re-run calibration any time with: "calibrate slide-inspector" overrides: calibration_status: declined checks: []
- yes → Follow
- If user-overrides.yaml DOES exist — skip this step entirely. Calibration has either been completed or explicitly declined. Proceed straight to Step 1.
What ships with it
5 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.
- 12d ago First seen · 333 lines · 32 tokens per session scan A 7579d8c4941d
slide-inspector is a skill published in the GitHub repository BayramAnnakov/ai-personal-os-skills (20 stars, last pushed 4mo ago), licensed MIT. It adds 32 tokens to every session and 5,813 once invoked, about $0.0002 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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