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 itseffi/agentic-os --skill executive-update-reviewgit clone --depth 1 https://github.com/itseffi/agentic-osWrote 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/itseffi/agentic-os/executive-update-review)<a href="https://agentmods.dev/skills/itseffi/agentic-os/executive-update-review"><img src="https://agentmods.dev/badge/skills/itseffi/agentic-os/executive-update-review/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/itseffi/agentic-os/executive-update-review"><img src="https://agentmods.dev/badge/skills/itseffi/agentic-os/executive-update-review.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 | $0.00019 | $0.00277 |
| Opus 5.5 | $0.00008 | $0.00111 |
| Sonnet 5.5 | $0.00004 | $0.00055 |
| Haiku 4.5 | $0.00002 | $0.00028 |
Grade A, and why
executive-update-review 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.
What it actually says
Executive Update Review
Turn a draft update into a decision-ready executive communication.
Instructions
Step 1: Rewrite TLDR
- Exactly 3 bullets: what is wanted, why now, what changes.
Step 2: Diagnose issues and fixes
- Provide issue -> fix table.
Step 3: Rebuild narrative
- Hook, stakes, options with tradeoffs, recommendation, ask.
Step 4: Rewrite core section
- Plain language, <=200 words.
Step 5: Produce speaking notes
- Opening 15s, body 2m30s, close 15s.
- Include one story/data point, one risk, one clear ask.
Step 6: Improve slide economy
- Recommend cuts/merges.
- Provide one-slide executive summary layout.
Output
- TLDR (3 bullets)
- Issue -> fix table
- Narrative structure
- Core rewrite
- 3-minute speaking notes
- Slide economy + one-slide layout
When to Use
Use this skill when the task directly matches the workflow described above.
When Not to Use
Do not use this skill when the request is unrelated, low-stakes, or better handled by a simpler direct response.
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.
- 1mo ago First seen · 48 lines · 19 tokens per session scan A c931a3f3816b
executive-update-review is a skill published in the GitHub repository itseffi/agentic-os (117 stars, last pushed 14d ago), licensed MIT. It adds 19 tokens to every session and 277 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 2026-08-30.
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