Borrowing it
Nothing to install: this file belongs to DanceNitra/agora. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/DanceNitra/agora/main/.claude/skills/headline-craft/SKILL.mdgit clone --depth 1 https://github.com/DanceNitra/agoraWrote 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/dancenitra/agora/headline-craft)<a href="https://agentmods.dev/skills/dancenitra/agora/headline-craft"><img src="https://agentmods.dev/badge/skills/dancenitra/agora/headline-craft/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/dancenitra/agora/headline-craft"><img src="https://agentmods.dev/badge/skills/dancenitra/agora/headline-craft.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 | $0.00163 | $0.01857 |
| Opus 5.5 | $0.00065 | $0.00743 |
| Sonnet 5.5 | $0.00033 | $0.00371 |
| Haiku 4.5 | $0.00016 | $0.00186 |
Grade A, and why
headline-craft 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 — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
headline-craft: the one line that decides whether anyone reads the rest
A headline is a claim. It gets the same rigor as a number: a source for the craft, a test it must pass, several versions, and the owner's choice. Never adopt a headline a red-team lens wrote; a lens fixes overclaim, it does not write headlines.
The three tests (Harry Dry, applied to every candidate)
- Can I visualize it? Concrete beats abstract. "Charging pitbull" is remembered, "better way" is not. Zoom in until the sentence names an object: not "regain fitness" but "couch to 5K".
- Can I falsify it? A sentence that is true or false makes the reader sit up. "He reads on the tube" beats "he is intelligent". Point at the fact; do not talk about it.
- Can nobody else say it? "Never write an ad a competitor can sign." If any memory vendor or any other blog could put its name under the line, it is not ours yet.
Three no's means rubbish. Three yes's means a candidate. Then the two-second test: show it to someone cold, count "one Mississippi, two Mississippi"; if they do not get it by two, rewrite.
The method
- Start from a fact, ours, measured this cycle. The Rolls-Royce clock line was pulled from a motor magazine; Ogilvy's craft was choosing it. Our facts are the probe outputs.
- Conflict. Draw a line down the page and write the two sides: what the API said versus what the disk held; before versus after; the corporate way versus the copywriting way. The reader remembers relatively.
- Write twenty versions. The first dozen are the dirty water out of the tap. Keep going until a line you cannot add a word to or take a word from. Show three versions to a reader, never one; "I like it" is not feedback, "that sentence, in that one" is.
- Parallelism and rhythm. "22,000 hours writing, two learning how" was rewritten from 20,000 for the parallel. Tougher than an F-150, faster than a 911.
- Small claim, believable. "Increase conversions from 1% to 2%" sells because it is sincere; "be a millionaire" does not. Our body says "evidence, not proof", so the headline may not say "prove".
- Write it where the reader sees it: the title in the search result mockup, the Reddit title in a list of other titles, the H1 on the rendered page. A line that spills to two lines is rewritten.
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 First seen · 95 lines · 163 tokens per session scan A 3a9084448116
headline-craft is a skill published in the GitHub repository DanceNitra/agora (3 stars, last pushed 7d ago), licensed MIT. It adds 163 tokens to every session and 1,857 once invoked, about $0.0007 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 2026-09-18.
headline-craft compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| headline-craftDanceNitra/agora | Skill | 3 | 7d ago | MIT | A | 163 | Claude Code |
| Evaluationagentic-in/elephant-agent | Skill | 584 | 2mo ago | none | A | 25 | Claude Code, Codex |
| create-custom-graderNVIDIA/SkillEvaluator | Skill | 643 | yesterday | Apache-2.0 | A | 35 | Claude Code, Codex |
| api-callerNVIDIA/SkillEvaluator | Skill | 643 | yesterday | Apache-2.0 | A | 29 | Claude Code, Codex |
| calculatorNVIDIA/SkillEvaluator | Skill | 643 | yesterday | Apache-2.0 | A | 32 | Claude Code, Codex |
| text-analyzerNVIDIA/SkillEvaluator | Skill | 643 | yesterday | Apache-2.0 | A | 42 | Claude Code, Codex |
| company-braincaura-ai/caura | Skill | 549 | yesterday | Apache-2.0 | A | 108 | Claude Code |