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 flaqai/backlink_skills --skill writergit clone --depth 1 https://github.com/flaqai/backlink_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/flaqai/backlink_skills/writer)<a href="https://agentmods.dev/skills/flaqai/backlink_skills/writer"><img src="https://agentmods.dev/badge/skills/flaqai/backlink_skills/writer/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/flaqai/backlink_skills/writer"><img src="https://agentmods.dev/badge/skills/flaqai/backlink_skills/writer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high System Prompt Leakage · line 22 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
- high System Prompt Leakage · line 209 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
- high System Prompt Leakage · line 218 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
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 | $0.00086 | $0.04744 |
| Opus 5 | $0.00043 | $0.02372 |
| Sonnet 5 | $0.00017 | $0.00949 |
| Haiku 4.5 | $0.00009 | $0.00474 |
Grade A, and why
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 9d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- writer — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 287 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Writer
Overview
Use this skill to produce and improve Google SEO-friendly articles that stay focused on one topic, use keywords naturally, and avoid invented facts or over-marketing. Default output language should match the user's request unless they specify another language.
When the requested destination is a Chinese WeChat Official Account (微信公众号、微信文章、公众号推文), load wechat-writer/SKILL.md and follow that workflow instead of applying this Google-first structure. When the destination is a LinkedIn Article, newsletter, LinkedIn long-form post, or LinkedIn thought-leadership package, use linkedin-writer/SKILL.md; its output contract overrides this file and stores the package under linkedin-writer/output/<article-slug>/. When the destination is Medium or another editorial third-party article, use medium-writer/SKILL.md; its output contract stores the package under medium-writer/output/<story-slug>/.
For a full reusable prompt and final article template, load references/seo-article-template.md when the user asks for a ready-to-copy prompt, a complete article, or a reusable writing template.
For article audits, existing-page reviews, or post-draft optimization, load references/seo-audit-checklist.md.
For fact-heavy articles, comparisons, product/category analysis, or style polishing, load references/fact-check-and-style.md.
After the SEO audit and audit-driven rewrite, load references/humanization.md for the final humanization pass. Preserve verified facts, search intent, required keywords, citations, code, URLs, and the author's voice while removing mechanical or overly AI-like writing patterns.
For deliverables that must be saved as files, use the output rules in this file and load references/output-packaging.md.
Cloudflare R2 is optional. Always create the article with local relative image paths first. If writer/config/r2.config.json exists and contains valid values, load references/r2-image-upload.md, upload the images, and replace the local paths with public URLs. If that local config is absent, keep the local image references and finish normally.
What ships with it
28 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.
- config/r2.config.example.json 287 B
- linkedin-writer/references/linkedin-article-template.md 15 KB
- linkedin-writer/references/linkedin-business-depth-and-humanization.md 12 KB
- linkedin-writer/references/linkedin-review-rubric.md 12 KB
- linkedin-writer/references/linkedin-topic-research.md 15 KB
- linkedin-writer/scripts/audit-linkedin-markdown.mjs 19 KB runs code
- linkedin-writer/SKILL.md 23 KB
- medium-writer/references/medium-article-template.md 16 KB
- medium-writer/references/medium-review-rubric.md 8.7 KB
- medium-writer/references/medium-topic-research.md 18 KB
- medium-writer/scripts/audit-medium-markdown.mjs 14 KB runs code
- medium-writer/SKILL.md 22 KB
- references/fact-check-and-style.md 5.1 KB
- references/humanization.md 7.8 KB
- references/output-packaging.md 6.3 KB
- references/r2-image-upload.md 4.3 KB
- references/r2-security.md 2.0 KB
- references/seo-article-template.md 9.8 KB
- references/seo-audit-checklist.md 7.7 KB
- scripts/upload-r2.mjs 19 KB runs code
- tests/upload-r2.test.mjs 2.8 KB runs code
- wechat-writer/profile/style-profile.example.md 1.7 KB
- wechat-writer/references/frameworks-and-hooks.md 5.1 KB
- wechat-writer/references/mobile-writing-and-packaging.md 5.2 KB
- wechat-writer/references/wechat-brief-and-evidence.md 4.1 KB
- wechat-writer/references/wechat-review-rubric.md 5.7 KB
- wechat-writer/scripts/audit-wechat-markdown.mjs 11 KB runs code
- wechat-writer/SKILL.md 15 KB
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.
- 9d ago First seen · 287 lines · 86 tokens per session scan A 94c7e60b5c02
writer is a skill published in the GitHub repository flaqai/backlink_skills (687 stars, last pushed 16d ago), licensed MIT. It adds 86 tokens to every session and 4,744 once invoked, about $0.0004 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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