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/freestylefly/wesight/article-writernpx skills add freestylefly/wesight --skill article-writergit clone --depth 1 https://github.com/freestylefly/wesightWrote 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/freestylefly/wesight/article-writer)<a href="https://agentmods.dev/skills/freestylefly/wesight/article-writer"><img src="https://agentmods.dev/badge/skills/freestylefly/wesight/article-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 | $0.00062 | $0.02105 |
| Opus 5 | $0.00031 | $0.01052 |
| Sonnet 5 | $0.00012 | $0.00421 |
| Haiku 4.5 | $0.00006 | $0.00211 |
Grade A, and why
article-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 4d 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.
This is a copy
100% identical to article-writer — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 235 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Multi-Style Article Creation
Use Cases
- User says "写一篇关于XX的文章"
- User says "帮我写一篇公众号文章"
- User selects a topic from the content calendar to start writing
- User specifies a writing style (e.g., "深度分析风格", "写个教程")
5 Writing Styles
| Style ID | Name | Characteristics | Word Count | Use Cases |
|---|---|---|---|---|
deep-analysis |
深度分析 | Rigorous structure, data-backed | 2000-4000 words | Trend analysis, in-depth reporting |
practical-guide |
实用指南 | Clear steps, highly actionable | 1500-3000 words | Tool tutorials, how-to guides |
story-driven |
故事驱动 | Conversational, emotional resonance | 1500-2500 words | Personal stories, case reviews |
opinion |
观点评论 | Sharp opening, pros/cons argumentation | 1000-2000 words | Hot takes, controversial topics |
news-brief |
新闻简报 | Inverted pyramid, fact-focused | 500-1000 words | Breaking news, information roundups |
Workflow
Step 1: Read the Brief
Obtain topic information from:
- Entries with status
plannedincontent_calendar.json - Topic description directly provided by the user
Extract key information:
- Topic direction / title
- Target audience
- Writing style (if not specified, recommend based on topic content)
- Reference material URLs
Step 2: Determine Writing Style
If user hasn't specified, recommend based on topic:
| Topic Characteristics | Recommended Style |
|---|---|
| Involves data, trends, underlying causes | deep-analysis |
| "How to", "tutorial", "steps" | practical-guide |
| Involves people, experiences, insights | story-driven |
| Involves controversy, hot topic commentary | opinion |
| Breaking events, quick information | news-brief |
Confirm the style choice with the user.
Step 3: Material Collection
Use content-planner's search script to collect reference materials:
node "$SKILLS_ROOT/content-planner/scripts/wechat_search.js" "topic keywords" -n 10
Also use web-search skill for additional materials.
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.
- 4d ago First seen · 235 lines · 62 tokens per session scan A 0f0113951d9e
article-writer is a skill published in the GitHub repository freestylefly/wesight (908 stars, last pushed 10d ago), licensed MIT. It adds 62 tokens to every session and 2,105 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to article-writer, differing in 0 lines, and is treated as a copy.
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Use when Codex is already in the validation phase of a security scan or the user explicitly asks to determine whether one or more candidate security findings are valid. Do not use as the primary trigger for full PR, commit, branch, patch, or repository scans.
fix-finding
Use when the user explicitly asks to fix and verify a validated or plausible security finding. Do not use as the primary trigger for full PR, commit, branch, patch, or repository scans.
threat-model
Use when Codex is already in the threat-modeling phase of a security scan, the user explicitly invokes $threat-model, or the user explicitly asks to create, update, or persist a repository threat model. Do not use as the primary trigger for full PR, commit, branch, patch, or repository scans.