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 ntaffzii/Skill-Agents --skill markdown-reportgit clone --depth 1 https://github.com/ntaffzii/Skill-AgentsWrote 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/ntaffzii/skill-agents/markdown-report)<a href="https://agentmods.dev/skills/ntaffzii/skill-agents/markdown-report"><img src="https://agentmods.dev/badge/skills/ntaffzii/skill-agents/markdown-report/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/ntaffzii/skill-agents/markdown-report"><img src="https://agentmods.dev/badge/skills/ntaffzii/skill-agents/markdown-report.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 | $0.00056 | $0.00336 |
| Opus 5.5 | $0.00022 | $0.00134 |
| Sonnet 5.5 | $0.00011 | $0.00067 |
| Haiku 4.5 | $0.00006 | $0.00034 |
Grade A, and why
markdown-report 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
Markdown Report
Create useful Markdown documents with clear structure and practical detail.
Workflow
-
Identify audience and purpose
- Decide whether the report is for personal tracking, engineering, leadership, research archive, automation output, or public sharing.
-
Choose the lightest structure
- Use only the headings needed for the job.
- Prefer concise sections over heavy templates.
-
Write
- Put the answer near the top.
- Use clear headings and short paragraphs.
- Use tables only when they improve comparison or scanning.
- Make action items explicit.
-
Verify
- Confirm the title matches the purpose.
- Confirm claims are sourced, grounded in files, or clearly labeled as assumptions.
- Confirm action items are concrete.
- Confirm Markdown renders cleanly.
Common Templates
Research Brief
# [Title]
## Summary
## Key Findings
## Evidence
## Recommendations
## Action Items
## Sources
Decision Record
# Decision: [Title]
## Context
## Options Considered
## Decision
## Rationale
## Risks
## Follow-ups
Rules
- Respond in the user's language.
- Do not over-format simple content.
- Do not bury the useful answer below background.
- Do not include unsupported claims.
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 · 75 lines · 56 tokens per session scan A b6d2866809d7
markdown-report is a skill published in the GitHub repository ntaffzii/Skill-Agents (4 stars, last pushed 15d ago), licensed MIT. It adds 56 tokens to every session and 336 once invoked, about $0.0002 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 2026-08-31.
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