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 global-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/global-review)<a href="https://agentmods.dev/skills/hxy91819/mason-skills/global-review"><img src="https://agentmods.dev/badge/skills/hxy91819/mason-skills/global-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/global-review"><img src="https://agentmods.dev/badge/skills/hxy91819/mason-skills/global-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 | $0.00089 | $0.03650 |
| Opus 5 | $0.00044 | $0.01825 |
| Sonnet 5 | $0.00018 | $0.00730 |
| Haiku 4.5 | $0.00009 | $0.00365 |
Grade A, and why
article-workflow-global-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 today.
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 — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Article Workflow Global Review
这是流程类 Skill，默认仅在用户显式调用 $article-workflow-global-review 时运行。
This is Phase 4 of the article-workflow-* skill series, corresponding to "global coherence review" in the article optimization workflow.
Goal: read the scattered chapters as one continuous article, find breaks, repetitions, and misplacements, and give a clear handling direction for each repetition. This is not about mechanically deleting all repetitions, but about judging which repetitions make the article spin in place and which are necessary progression or echo. AI does the diagnosis and organization; the author makes the judgment. This phase does not directly edit the draft — it only points out problem locations and adjustment directions; the actual changes are left to Phase 4.5.
Trigger Scenarios
Use this skill when the user asks to:
- Execute article optimization workflow Phase 4
- Global coherence review / whole-article coherence review / global review
- Check all chapters as one continuous article for breaks, cross-chapter repetitions, content misplacements
- Generate
.article-workflow/04-global-review/
Input and Output
Default inputs:
.article-workflow/brief.md(Phase 0 editing brief, the reference baseline for the main thread and must-keep judgments)- Main text chapters, one of two:
.article-workflow/03.5-ai-edit-pass/revised-sources/*.md— if Phase 3.5 has passed author review, read this first.article-workflow/00-cleaned-sources/*.md— if Phase 3.5 was not executed
.article-workflow/02-evidence-pool/(evidence-pool.md,open-questions.md, etc., for cross-checking evidence calibrations and confirmed facts).article-workflow/03-author-pass-notes.md(if it exists)- May reference
.article-workflow/03.5-ai-edit-pass/change-log.md,author-review-checklist.mdto confirm Phase 3.5 is closed and calibrations are unified
Default output (always create a folder, even if there is only one file):
.article-workflow/04-global-review/global-review.md: whole-article coherence review report with inline author decision points
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.
- today Changed · +2 lines 0beca53d9926
- 8d ago Changed · +3 lines · +89 tokens per session b38afd6507ce
- 12d ago First seen · 176 lines · 0 tokens per session scan A 18b47af33f63
article-workflow-global-review is a skill published in the GitHub repository hxy91819/mason-skills (2 stars, last pushed today), licensed MIT. It adds 89 tokens to every session and 3,650 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 2026-08-31.
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