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 clean-sourcesgit 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/clean-sources)<a href="https://agentmods.dev/skills/hxy91819/mason-skills/clean-sources"><img src="https://agentmods.dev/badge/skills/hxy91819/mason-skills/clean-sources/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/clean-sources"><img src="https://agentmods.dev/badge/skills/hxy91819/mason-skills/clean-sources.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 | $0.00081 | $0.02569 |
| Opus 5.5 | $0.00032 | $0.01028 |
| Sonnet 5.5 | $0.00016 | $0.00514 |
| Haiku 4.5 | $0.00008 | $0.00257 |
Grade A, and why
article-workflow-clean-sources 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 — 229 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Article Workflow Clean Sources
这是流程类 Skill,默认仅在用户显式调用 $article-workflow-clean-sources 时运行。
This is Phase 0.5 of the article-workflow-* skill series, corresponding to "oral draft cleaning" in the article optimization workflow overview.
Goal: first correct obvious errors introduced by oral transcription, preventing downstream structural reviews from being disrupted by transcription mistakes. AI only performs cleaning — no polishing, rewriting, structural changes, or opinion processing. The author makes the final call on terminology, style, and uncertain items.
Trigger Scenarios
Use this skill when the user requests:
- Referencing Phase 0.5 to clean oral drafts
- Organizing, cleaning, or correcting
.article-workflow/sources/oral-draft/ - Generating
.article-workflow/00-cleaned-sources/ - Standardizing proper nouns, capitalization, and obvious transcription errors in oral drafts
- Recording terminology questions or uncertain items from oral draft cleaning
Input and Output
Default input:
.article-workflow/sources/oral-draft/.article-workflow/brief.md
Default output:
.article-workflow/00-cleaned-sources/*.md: cleaned oral draft text, saved under the original filenames.article-workflow/00-cleaned-sources/terminology-notes.md: proper noun corrections, uncertain items, and cleaning boundary records
If the user provides an article directory, first look for .article-workflow/ within that directory. If brief.md is missing, ask whether to proceed; without a brief, only basic transcription cleaning can be done — do not infer the article's terminology system on your own.
Core Principles
- Clean, not polish.
- Preserve the author's speaking style, sentence patterns, tone, and order of ideas.
- Only correct obvious typos, speech recognition errors, proper noun capitalization and spelling, clearly redundant filler words, and basic spacing between Chinese and English text.
- Do not restructure sentences, replace the author's word choices, optimize expressions, delete ideas, or add content.
- Terminology notes are intermediate artifacts, always using
terminology-notes.md, to avoid being mistaken for article body text in later phases. - When uncertain about proper nouns, facts, colloquial style boundaries, or cleaning strategies that affect whole-document consistency, do not guess — proactively ask the author to confirm via dialog before writing into the cleaned draft.
- Terminology notes record confirmed treatments and a small number of low-risk doubtful points; they do not replace proactive confirmation.
- Blockquotes, code blocks, and original excerpts are kept as-is by default, unless the user explicitly requests synchronized corrections.
- By default, standardize
issue/issuesin body text toIssue/Issues, but do not change blockquotes, code blocks, or original excerpts by default. - After each round of output, a sub-agent must be launched for goal-alignment review; the sub-agent only provides review opinions, and the main agent decides whether to adopt them.
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 54bd0acf1bc9
- 2mo ago Changed · +3 lines · +81 tokens per session 996373026b41
- 2mo ago First seen · 224 lines · 0 tokens per session scan A 02850d1cb421
article-workflow-clean-sources is a skill published in the GitHub repository hxy91819/mason-skills (3 stars, last pushed today), licensed MIT. It adds 81 tokens to every session and 2,569 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-clean-sources compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| article-workflow-clean-sourceshxy91819/mason-skills | Skill | 3 | today | MIT | A | 81 | 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 |