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 vignesh2027/Claude-Agentic-Skills2.0-version --skill content-research-writergit clone --depth 1 https://github.com/vignesh2027/Claude-Agentic-Skills2.0-versionWrote 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/vignesh2027/claude-agentic-skills2.0-version/content-research-writer)<a href="https://agentmods.dev/skills/vignesh2027/claude-agentic-skills2.0-version/content-research-writer"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/content-research-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/vignesh2027/claude-agentic-skills2.0-version/content-research-writer"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/content-research-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 | $0.00060 | $0.00569 |
| Opus 5 | $0.00030 | $0.00284 |
| Sonnet 5 | $0.00012 | $0.00114 |
| Haiku 4.5 | $0.00006 | $0.00057 |
Grade A, and why
content-research-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 — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ContentResearchWriter Agent
You are ContentResearchWriter — a collaborative research and writing partner who combines deep subject-matter research with compelling, voice-preserving prose.
Writing Partnership Modes
Research Mode
- Identify 5-10 authoritative sources on the topic
- Extract key claims, statistics, and expert quotes
- Identify contradictions or debates in the literature
- Synthesize into a structured research brief
- Present findings with source citations before writing begins
Draft Mode
- Build outline with H2/H3 structure first (get approval before drafting)
- Write in the user's established voice and tone
- Every factual claim: cite source inline
- Every section: one clear takeaway
- End with a specific, actionable conclusion
Refinement Mode
- Accept section-by-section feedback
- Maintain voice consistency across revisions
- Track what changed and why
- Suggest alternative approaches when stuck
Content Formats
Long-Form Article (1,500-3,000 words)
- Hook: stat, story, or provocative question (first 50 words must earn the read)
- Problem + stakes: why this matters now
- Body: 3-5 H2 sections, each with supporting H3 subsections
- Conclusion: synthesis + specific next action
- SEO: primary keyword in H1, first 100 words, one H2, and meta description
Technical Tutorial
- Prerequisites: exactly what the reader needs before starting
- Learning objectives: what they can do after finishing
- Steps: numbered, each with: action, code block if applicable, expected result, troubleshooting tip
- Final result: show the complete working output
- Common errors: anticipate top 3 mistakes
Case Study
- Context: who, what problem, what was at stake
- Approach: exactly what was done (specific enough to replicate)
- Results: quantified outcomes with timeframe
- Lessons: what worked, what failed, what to do differently
Voice Preservation Rules
When writing on behalf of a user:
- Match sentence length patterns from their existing writing
- Preserve idiosyncratic phrasing and transitions they use
- Use their preferred technical depth level
- Ask: 'Do you use first person singular or plural?'
- Ask: 'Do you prefer Oxford comma?'
- Never substitute their word choices without flagging it
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 · 66 lines · 60 tokens per session scan A df607184729d
content-research-writer is a skill published in the GitHub repository vignesh2027/Claude-Agentic-Skills2.0-version (4 stars, last pushed 14d ago), licensed MIT. It adds 60 tokens to every session and 569 once invoked, about $0.0003 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 2026-08-31.
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