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 Orkas-AI/Orkas-Awesome-AgentSkills --skill content-writergit clone --depth 1 https://github.com/Orkas-AI/Orkas-Awesome-AgentSkillsWrote 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/orkas-ai/orkas-awesome-agentskills/content-writer)<a href="https://agentmods.dev/skills/orkas-ai/orkas-awesome-agentskills/content-writer"><img src="https://agentmods.dev/badge/skills/orkas-ai/orkas-awesome-agentskills/content-writer/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/orkas-ai/orkas-awesome-agentskills/content-writer"><img src="https://agentmods.dev/badge/skills/orkas-ai/orkas-awesome-agentskills/content-writer.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 | $0.00003 | $0.01167 |
| Opus 5 | $0.00002 | $0.00583 |
| Sonnet 5 | $0.00001 | $0.00233 |
| Haiku 4.5 | $0.00000 | $0.00117 |
Grade A, and why
content-writer 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 12d 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 — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Writer
When to Use
Use this skill when the user wants to write, improve, or audit long-form content.
Use for:
- writing articles, blogs, newsletters, tutorials, case studies, explainers, or opinion pieces.
- building outlines, hooks, section plans, titles, conclusions, and citation lists.
- improving an existing draft while preserving the author's voice.
- making text more natural and less AI-like.
- checking facts, statistics, citations, links, and company/product claims before publishing.
Do not use this skill for platform-native social posts, social calendars, browser-based draft publishing, or final professional legal/medical/financial advice.
Choose The Mode
Pick one mode from the user's request. If the request spans multiple modes, handle them in order and say which mode is active.
| Mode | Use when | Output |
|---|---|---|
plan |
user needs topic clarification, angle, outline, or research plan | thesis, reader, outline, evidence gaps |
draft |
user wants a first complete article or section | full draft with assumptions and source gaps |
revise |
user has a draft and wants structure, clarity, or style edits | edited version plus change notes |
humanize |
user says it sounds AI-like, stiff, generic, or unnatural | natural rewrite preserving meaning |
audit |
user asks to verify facts, links, references, claims, or publish readiness | audit report with pass/issues |
Workflow
- Clarify only what matters:
- topic, target reader, publishing context, purpose, tone, length, and deadline.
- available materials: notes, draft, links, files, citations, brand voice, product docs, or style samples.
- whether the user wants speed, depth, or strict verification.
- For
plan:- define thesis, reader promise, angle, hook options, section structure, and evidence needs.
- mark weak claims and missing sources.
- For
draft:- write from the outline or available source material.
- use clear labels for assumptions, placeholders, and claims needing verification.
- avoid inventing statistics, experts, sources, case studies, customer quotes, or publication dates.
- For
revise:- improve clarity, logic, flow, evidence, section order, rhythm, and conclusion.
- preserve the user's intended meaning and voice.
- give optional alternatives when tone is subjective.
- For
humanize:- remove inflated significance, promotional phrasing, vague attribution, generic transitions, forced groups of three, excessive synonym cycling, and uniform sentence rhythm.
- prefer concrete verbs, specific nouns, natural uncertainty, and human pacing.
- do not make unsupported claims more confident.
- For
audit:- extract URLs, statistics, research citations, company claims, source attributions, and competitor claims.
- verify links and exact claim support when tools/web access are available.
- label findings:
PASS,BROKEN,FETCH_FAILED,ACCESS_BLOCKED,MISMATCH,UNSOURCED,UNVERIFIABLE, orUNVERIFIABLE_COMPANY_CLAIM.
- Finish with the most useful next action:
- draft, revised text, checklist, verification gaps, or recommended publication hold.
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.
- 12d ago First seen · 137 lines · 3 tokens per session scan A 67e64eb4b315
content-writer is a skill published in the GitHub repository Orkas-AI/Orkas-Awesome-AgentSkills (13 stars, last pushed 2mo ago), licensed MIT. It adds 3 tokens to every session and 1,167 once invoked, about $0.0000 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.
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