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 haowjy/creative-writing-skills --skill information-hierarchygit clone --depth 1 https://github.com/haowjy/creative-writing-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/haowjy/creative-writing-skills/information-hierarchy)<a href="https://agentmods.dev/skills/haowjy/creative-writing-skills/information-hierarchy"><img src="https://agentmods.dev/badge/skills/haowjy/creative-writing-skills/information-hierarchy/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/haowjy/creative-writing-skills/information-hierarchy"><img src="https://agentmods.dev/badge/skills/haowjy/creative-writing-skills/information-hierarchy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00053 | $0.00801 |
| Opus 5.5 | $0.00021 | $0.00320 |
| Sonnet 5.5 | $0.00011 | $0.00160 |
| Haiku 4.5 | $0.00005 | $0.00080 |
Grade A, and why
information-hierarchy 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 10d 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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Information Hierarchy
The reader should get the answer in the first thing they see, and find depth only when they reach for it. Everything else here follows from that: each beat of the piece takes the form that carries it best, what matters most comes first, and the medium stays as simple as the content allows.
Lead with the answer/conclusion
Readers scan. Open with the finding itself, and the piece works in thirty seconds. The same logic repeats at every scale: a section's first sentence is its answer, a slide's title is its takeaway ("Cache misses double p99" rather than "Performance"), a UI label carries its whole meaning alone.
Behind the answer sits depth (reasoning, evidence, edge cases), and behind that, sources. Keep depth that most readers will skip, and move it: a later section, a linked page, a footnote. Sources belong at the end.
Pick the form that fits the idea
Prose is the default; break from it when another form genuinely carries the idea better. An example grounds an abstract claim faster than more explanation. A table holds enumerable facts that prose would bury. A chart shows a trend that a sentence can only assert. A mockup shows a layout the reader would otherwise have to imagine.
Diagram-first for pipelines and relationships. When the content is a
pipeline, a dependency graph, a state machine, or any structure where the
relationship between parts is the hard idea, put the diagram early — a
one-sentence takeaway, then the diagram, then detailed prose. The diagram
leads, the prose still explains; prose alone buries the shape. Keep inline
diagrams to a handful of nodes and give larger structures an explorable view.
Validate diagrams (see /creative-writing-skills:md-validation).
Ask what the beat is trying to do, then give it the form that does that: an explanation gets a paragraph, a comparison gets a table. Each form teaches best inside its own job: a diagram standing in for an explanation teaches less than the paragraph would.
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.
- 10d ago Changed · -1 lines · -8 tokens per session fc2d40b42b95
- 29d ago Changed 0b60f2eea86d
- 2mo ago First seen · 73 lines · 61 tokens per session scan A 906aa9b621bd
information-hierarchy is a skill published in the GitHub repository haowjy/creative-writing-skills (567 stars, last pushed 10d ago), licensed Apache-2.0. It adds 53 tokens to every session and 801 once invoked, about $0.0002 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 2026-08-30.
information-hierarchy compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| information-hierarchyhaowjy/creative-writing-skills | Skill | 567 | 10d ago | Apache-2.0 | A | 53 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |