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 hxy91819/mason-skills --skill section-reviewgit clone --depth 1 https://github.com/hxy91819/mason-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/hxy91819/mason-skills/section-review)<a href="https://agentmods.dev/skills/hxy91819/mason-skills/section-review"><img src="https://agentmods.dev/badge/skills/hxy91819/mason-skills/section-review/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/hxy91819/mason-skills/section-review"><img src="https://agentmods.dev/badge/skills/hxy91819/mason-skills/section-review.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 | $0.00077 | $0.02987 |
| Opus 5.5 | $0.00031 | $0.01195 |
| Sonnet 5.5 | $0.00015 | $0.00597 |
| Haiku 4.5 | $0.00008 | $0.00299 |
Grade A, and why
article-workflow-section-review 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.
How it starts
The opening of the file, as written. The whole thing — 266 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Article Workflow Section Review
这是流程类 Skill,默认仅在用户显式调用 $article-workflow-section-review 时运行。
This is Phase 1 of the article-workflow-* skill series, corresponding to "Section-by-Section Narrative Review" in the article optimization workflow.
Goal: Review article materials section by section for narrative structure issues, providing actionable diagnostics for subsequent editing. The AI produces editorial diagnostics and default resolution suggestions — it does not revise body text, polish, or make key trade-off decisions on behalf of the author. The author makes judgment calls; trade-offs that would affect the direction of subsequent edits must have clearly marked author response slots, and can be collected in advance via dialog when necessary.
Trigger Scenarios
Use this skill when the user asks to:
- Execute article optimization workflow Phase 1
- Perform section-by-section narrative review on
.article-workflow/00-cleaned-sources/ - Generate
.article-workflow/01-section-reviews/ - Check sections for logical jumps, information density, reader interest, or material selection
- Organize review results into actionable editing references for subsequent agents or the author
Inputs and Outputs
Default inputs:
.article-workflow/brief.md.article-workflow/00-cleaned-sources/*.md
Default outputs:
.article-workflow/01-section-reviews/<original-filename>.review.md: per-section review.article-workflow/01-section-reviews/index.md: full-text issue index and global decision entry point
If the user provides an article directory, first look for .article-workflow/ under that directory. If brief.md is missing, ask whether to proceed; without a brief, only basic narrative diagnostics can be performed — do not infer the article's main thread, target readers, or material selection criteria on your own.
Core Principles
- Review, do not revise.
- Diagnose narrative structure; do not polish language.
- Every identified issue must have a default resolution path; do not only point out problems.
- Items requiring the author's decision must be explicitly marked and include a
📝 Author Response:slot. - When the author has not responded, subsequent phases may follow the "default resolution path"; author responses override default paths.
- For blocking decisions marked as "Requires Author Confirmation: Yes" that would affect section splitting, material retention/removal, factual boundaries, or the author's viewpoint, Phase 1 may provide a default path, but subsequent editing phases must not execute such blocking decisions without author confirmation.
- Review files must serve subsequent editing; do not write generic editorial opinions.
- Do not impose standardized writing frameworks to reshape the author's article; only point out how existing materials can better serve the brief.
- Preserve the author's personal experience, article tone, and necessary judgments; deletion or compression suggestions must not override author intent by default.
- After each round of output is complete, a sub-agent must be launched for goal-alignment review; the sub-agent only raises review opinions, and the main agent decides whether to adopt them.
- If a sub-agent is unavailable, a self-check covering the same review focus areas must be performed, and the final response must note the limitation of not completing a sub-agent review.
What ships with it
1 file 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.
- 1mo ago Changed · +2 lines 29535670f8eb
- 2mo ago Changed · +3 lines · +77 tokens per session a0c41fa79dec
- 2mo ago First seen · 261 lines · 0 tokens per session scan A c183812866f6
article-workflow-section-review is a skill published in the GitHub repository hxy91819/mason-skills (3 stars, last pushed today), licensed MIT. It adds 77 tokens to every session and 2,987 once invoked, about $0.0003 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.
article-workflow-section-review compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| article-workflow-section-reviewhxy91819/mason-skills | Skill | 3 | today | MIT | A | 77 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | yesterday | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 314k | 4d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |