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 seb1n/awesome-ai-agent-skills --skill knowledge-base-article-writinggit clone --depth 1 https://github.com/seb1n/awesome-ai-agent-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/seb1n/awesome-ai-agent-skills/knowledge-base-article-writing)<a href="https://agentmods.dev/skills/seb1n/awesome-ai-agent-skills/knowledge-base-article-writing"><img src="https://agentmods.dev/badge/skills/seb1n/awesome-ai-agent-skills/knowledge-base-article-writing/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/seb1n/awesome-ai-agent-skills/knowledge-base-article-writing"><img src="https://agentmods.dev/badge/skills/seb1n/awesome-ai-agent-skills/knowledge-base-article-writing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00046 | $0.02389 |
| Opus 5 | $0.00023 | $0.01195 |
| Sonnet 5 | $0.00009 | $0.00478 |
| Haiku 4.5 | $0.00005 | $0.00239 |
Grade A, and why
knowledge-base-article-writing 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 11d 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 — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Knowledge Base Article Writing
Produce polished help center articles and FAQ entries that deflect support tickets by giving customers clear, self-serve answers. This skill turns support ticket patterns, product changes, and common questions into structured articles optimized for readability, search, and scannability, following documentation best practices for step-by-step guides, troubleshooting flows, and reference material.
Workflow
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Identify topic from support data — Mine support ticket trends, search analytics (what customers search for but don't find), and CSM feedback to find the highest-impact topics. Prioritize by ticket volume (articles addressing the top 10 question clusters deflect the most tickets), topic complexity (complex topics benefit most from written guides), and recency (new features or recent changes need documentation immediately).
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Research the solution — Gather the authoritative answer from engineering docs, internal wikis, product specs, and subject matter experts. Test the workflow yourself end-to-end in the product to verify accuracy. Document the exact UI text, button labels, and navigation paths as they appear in the current product version. Note any prerequisites, required permissions, or plan-tier restrictions.
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Structure the article — Follow a consistent template: Title (action-oriented, matches how customers search), Summary (1-2 sentence answer for scanning), Prerequisites (what the reader needs before starting), Steps (numbered, one action per step, with expected outcome), Troubleshooting (common errors and their fixes), and Related Articles (links to adjacent topics). Keep the hierarchy flat — use H2 for major sections and H3 sparingly.
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Add visual aids and code examples — Include screenshots for UI-heavy workflows (annotated with numbered callouts matching the steps), code snippets for API or CLI workflows (with language tags, copy buttons, and expected output), and diagrams for architecture or flow explanations. Every image should have alt text. Every code block should be tested and runnable.
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.
- 11d ago First seen · 168 lines · 46 tokens per session scan A 7e5721c0faa5
knowledge-base-article-writing is a skill published in the GitHub repository seb1n/awesome-ai-agent-skills (179 stars, last pushed 1mo ago), licensed MIT. It adds 46 tokens to every session and 2,389 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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