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 agentmods add skills/codebygarv/ai-skills/executive-summary-writernpx skills add codebygarv/Ai-skills --skill executive-summary-writergit clone --depth 1 https://github.com/codebygarv/Ai-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/codebygarv/ai-skills/executive-summary-writer)<a href="https://agentmods.dev/skills/codebygarv/ai-skills/executive-summary-writer"><img src="https://agentmods.dev/badge/skills/codebygarv/ai-skills/executive-summary-writer.svg" alt="Measured on agentmods" 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 | $0.00028 | $0.00326 |
| Opus 5 | $0.00014 | $0.00163 |
| Sonnet 5 | $0.00006 | $0.00065 |
| Haiku 4.5 | $0.00003 | $0.00033 |
Grade A, and why
executive-summary-writer 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 5d 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
Purpose
Translate complex, jargon-heavy technical documents (incident postmortems, multi-quarter migration plans, architecture RFCs) into concise, high-impact executive summaries for CTOs, VPs, and non-technical stakeholders.
When to Use
- Communicating major production outage postmortems to company leadership.
- Pitching large infrastructure investments requiring budget sign-off.
- Preparing quarterly engineering board updates and business impact reviews.
What to Analyze
- Bottom Line Up Front (BLUF): What happened, what does it cost, and what is required in 2 sentences.
- Business Impact: Quantify downtime, lost revenue, customer trust impact, and SLA penalty risks.
- Root Cause Simplified: Explain technical failure without losing accuracy (eliminate deep stack trace trivia).
- Remediation & Investment: Specific budget, headcount, or timeline asks with clear ROI.
- Timeline & Accountability: Deadlines, owners, and next status checkpoint date.
Output Format
- BLUF Callout Box: Core takeaway.
- Executive Summary Document: 1-page structured brief (Background, Business Impact, Root Cause, Action Plan).
- Key Metric Table: Before vs After or Outage Duration / Financial Cost.
Avoid
- Filling summaries with pages of raw terminal logs and assembly/C++ debugging trivia.
- Sugarcoating severity or evading accountability.
What ships with it
2 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.
- 5d ago First seen · 34 lines · 28 tokens per session scan A 45f532c2fae2
executive-summary-writer is a skill published in the GitHub repository codebygarv/Ai-skills (25 stars, last pushed 16d ago), licensed MIT. It adds 28 tokens to every session and 326 once invoked, about $0.0001 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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