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/smallnest/goal-workflow/article-iconsnpx skills add smallnest/goal-workflow --skill article-iconsgit clone --depth 1 https://github.com/smallnest/goal-workflowWrote 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/smallnest/goal-workflow/article-icons)<a href="https://agentmods.dev/skills/smallnest/goal-workflow/article-icons"><img src="https://agentmods.dev/badge/skills/smallnest/goal-workflow/article-icons.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 | $0.00074 | $0.01638 |
| Opus 5 | $0.00037 | $0.00819 |
| Sonnet 5 | $0.00015 | $0.00328 |
| Haiku 4.5 | $0.00007 | $0.00164 |
Grade A, and why
article-icons 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 5d 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 — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Article Icons (itshover)
Add tasteful icons to an article using the itshover icon set. itshover publishes 263 icons as shadcn registry components; this skill downloads them and converts each into a clean, static, inline SVG that drops straight into Markdown or HTML — no React, no motion, no build step.
Triggers
Use when the user wants to illustrate a document with icons:
/article-icons <file>- "给这篇文章配图标", "给文章配图", "add icons to this article", "illustrate with icons"
Inputs
- Target file — the article to illustrate (
.md,.html,.mdx, ...). If not given, ask. - Style preferences (optional) — color, size, where icons go. Otherwise use sensible defaults below.
The Tool
scripts/fetch_icon.py is the only moving part. It fetches an icon and prints static SVG to stdout.
# Get one icon (defaults: size 24, color currentColor, stroke-width 2)
python3 scripts/fetch_icon.py heart-icon
# Customize
python3 scripts/fetch_icon.py rocket-icon --size 32 --color "#d97757" --stroke-width 1.5
# Discover names (do this FIRST — names must match exactly)
python3 scripts/fetch_icon.py --list
python3 scripts/fetch_icon.py --search arrow
python3 scripts/fetch_icon.py --search brand
scripts/icon_names.json is a cached list of all 263 names for offline reference.
Most icon names end in -icon (e.g. heart-icon, rocket-icon, database-icon), and brands use brand-<name>-icon (e.g. brand-anthropic-icon). But the convention is not universal — real names include shield-check, credit-card, down-chevron, apple-brand-logo, skull-emoji. Never guess a name. Always resolve it with --search first — a wrong guess just wastes a 404.
Workflow
-
Read the article. Identify its structure: title, section headings (
#/##/<h1>/<h2>), key concepts, list groups, callouts/warnings, and any tech/brand mentions (React, GitHub, AI tools...). -
Plan the icon map. For each placement, choose a semantically matching icon. Match meaning, not just keywords — a "performance" section →
rocket-iconorzap-icon; a "security" section →shield-iconorlock-icon; a warning callout →alert-triangle-icon. Prefer one consistent icon family (all outline, one color) so the article looks designed, not decorated. Resolve every name with--search.
What ships with it
2 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.
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.
- 5d ago First seen · 116 lines · 74 tokens per session scan A e8365dcacf52
article-icons is a skill published in the GitHub repository smallnest/goal-workflow (277 stars, last pushed 8d ago), licensed MIT. It adds 74 tokens to every session and 1,638 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.
Other skills, from other repositories
mass-line
触发：当你需要收集多方意见、把零散反馈整合成可执行方案，或把方案带回真实使用者/执行者验证时调用；常见信号包括 stakeholder input、user feedback、意见汇总、对齐与验证。 English: Trigger when input must be gathered from many people, synthesized into a clearer plan, and returned to the affected users or executors for validation. Use this skill for a collect-synthesize-validate loop.
workflows
触发：当你面临的任务明显需要多个思想武器协作时调用；常见信号包括：从零启动新项目、攻坚复杂疑难问题、对已有方案进行迭代优化。此 skill 提供标准化的跨 skill 工作流组合，解决"应该先用哪个 skill、怎么衔接"的问题。 English: Trigger when a task clearly requires multiple skills in sequence. Use this skill to select a standard workflow that chains skills together, defines data handoff between steps, and specifies…
concentrate-forces
触发：当多个任务同时争夺时间、注意力、算力或预算，必须确定主攻方向并停止分散用力时调用；常见信号包括优先级过多、资源紧张、推进分散、需要决定先做什么。 English: Trigger when limited resources are being split across too many tasks and one main target must be chosen. Use this skill to concentrate effort, sequence work decisively, and finish a meaningful breakthrough before expanding.
protracted-strategy
触发：当目标长期、任务复杂、资源暂时处于劣势，或短期无法速胜但又不能放弃时调用；常见信号包括 long-term effort、phased plan、endurance、战略耐心、需要分阶段推进。 English: Trigger when the work is long-horizon, difficult, and unlikely to be won quickly. Use this skill to divide the effort into stages, keep strategic confidence, and accumulate small wins into overall victory.
contradiction-analysis
触发：当问题复杂、存在多个冲突因素、优先级不清，或你不知道应该先解决什么时调用；常见信号包括 trade-off、瓶颈、根因不明、主次不清、多个问题互相牵制。 English: Trigger when a problem contains competing forces, unclear priorities, or no obvious entry point. Use this skill to identify contradictions, isolate the principal contradiction, classify its nature, and choose the right response.
practice-cognition
触发：当你提出了方案、假设或判断，需要通过实践验证、试错迭代或复盘升级认知时调用；常见信号包括 experiment、prototype、validate、iterate、feedback loop。 English: Trigger when an idea, hypothesis, or plan must be tested in practice and improved through iteration. Use this skill to move from action to understanding and back to action in a spiral learning loop.