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 AgriciDaniel/claude-repurpose --skill repurpose-quoragit clone --depth 1 https://github.com/AgriciDaniel/claude-repurposeWrote 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/agricidaniel/claude-repurpose/repurpose-quora)<a href="https://agentmods.dev/skills/agricidaniel/claude-repurpose/repurpose-quora"><img src="https://agentmods.dev/badge/skills/agricidaniel/claude-repurpose/repurpose-quora/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/agricidaniel/claude-repurpose/repurpose-quora"><img src="https://agentmods.dev/badge/skills/agricidaniel/claude-repurpose/repurpose-quora.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 | $0.00095 | $0.02019 |
| Opus 5.5 | $0.00038 | $0.00808 |
| Sonnet 5.5 | $0.00019 | $0.00404 |
| Haiku 4.5 | $0.00010 | $0.00202 |
Grade A, and why
repurpose-quora 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 — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Quora Content Generator
Produce a detailed answer, a Quora Space post, and question suggestions from the content atoms provided by the orchestrator.
Inputs
Received from the parent agent (repurpose-longform):
| Input | Description |
|---|---|
atoms |
Full list of content atoms with types and impact ratings |
main_argument |
One-sentence thesis of the source content |
target_audience |
Who benefits from this content |
primary_topic |
Category or niche |
voice_profile |
Detected or overridden brand voice |
brief_mode |
If true, produce answer only (skip Space post and questions) |
References
Load before generating:
references/platform-specs.md-- Quora character limits, posting times, algorithm weightsreferences/voice-adaptation.md-- Quora tone rules (expert, evidence-based)references/hook-formulas.md-- opening hooks for answers and Space posts
Core Principle: Authority Through Depth
Quora rewards expertise, not marketing. The platform's algorithm and community both prioritize thorough, evidence-based answers over shallow or promotional content.
What this means for output:
- The answer must be complete and standalone -- a reader should learn everything they need without clicking any link
- Lead with direct answers, not preamble. Quora readers are impatient with "great question!" openings.
- Credentials and specificity build trust. "After analyzing 200 campaigns..." beats "In my experience..."
- Google indexes Quora answers heavily -- treat every answer as a mini SEO landing page
- One external link maximum per answer, placed naturally in context or at the bottom
- Never use phrases like "check out my article" or "I wrote about this on my blog"
- Instead: "I covered the full methodology with data here: [link]" (if the link adds genuine value)
Output 1: Answer
File: quora/answer.md
Question
Derive the best question to answer from the content atoms. The question should be:
- Something a real Quora user would actually search for or ask
- Specific enough to have a clear answer, broad enough to attract traffic
- Aligned with the strongest atoms (especially
insight,stat,howto)
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 · 209 lines · 95 tokens per session scan A bb5f953f15a7
repurpose-quora is a skill published in the GitHub repository AgriciDaniel/claude-repurpose (162 stars, last pushed 6mo ago), licensed MIT. It adds 95 tokens to every session and 2,019 once invoked, about $0.0004 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.
Other skills, from other repositories
banana
Plan, generate, edit, compare, and review images with Google Gemini (Nano Banana) image models, with an exact plan and explicit approval before every paid call. Use when the user asks to create or edit an image, picture, photo, illustration, logo, thumbnail, poster, banner, product shot, mockup, character sheet…
shorts
Interactive longform-to-shortform video creator. Extracts viral-ready short clips from long videos using Claude as the orchestrator. Transcribes with faster-whisper (GPU), Claude scores and presents candidate segments interactively, user picks and adjusts, Remotion renders premium animated captions (Bold/Bounce/Clean…
youtube
The ultimate YouTube creator skill. Covers channel audits, video SEO, retention-engineered scripts, hook writing, thumbnail briefs, content strategy, content calendars, Shorts optimisation, analytics interpretation, monetisation planning, competitor research, cross-platform repurposing, upload metadata packages, and…
blog
Full-lifecycle blog engine with 31 sub-skills, 12 content templates, 5-category 100-point scoring, and 5 specialized agents. Routes user requests to the right sub-skill: writing, rewriting, analysis, outlines, audits, schema, charts, images, repurposing, AI citation SEO, FLOW framework prompts, topic-cluster…
blog-write
Write new blog articles from scratch optimized for Google rankings and AI citations. Generates full articles with template selection, answer-first formatting, Key Takeaways summary box, information gain markers, citation capsules, sourced statistics, Pixabay/Unsplash images, built-in SVG chart generation, optional FAQ…
blog-cluster
Semantic topic cluster planning and automated execution engine for claude-blog. Performs SERP-based keyword research, groups keywords by search intent and SERP overlap, builds a hub-and-spoke cluster architecture, generates an interactive SVG cluster map, and executes the full cluster by orchestrating blog-write calls…