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 cyberelf/agent_skills --skill conversation-qagit clone --depth 1 https://github.com/cyberelf/agent_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/cyberelf/agent_skills/conversation-qa)<a href="https://agentmods.dev/skills/cyberelf/agent_skills/conversation-qa"><img src="https://agentmods.dev/badge/skills/cyberelf/agent_skills/conversation-qa/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/cyberelf/agent_skills/conversation-qa"><img src="https://agentmods.dev/badge/skills/cyberelf/agent_skills/conversation-qa.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 | $0.00151 | $0.02918 |
| Opus 5 | $0.00076 | $0.01459 |
| Sonnet 5 | $0.00030 | $0.00584 |
| Haiku 4.5 | $0.00015 | $0.00292 |
Grade A, and why
conversation-qa 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 9d 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 — 240 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Conversation Q&A Generator
Extract Q&A pairs from the current conversation and produce (or extend) a polished, self-contained HTML document with illustrated explanations.
Why this skill exists
Long technical conversations contain valuable knowledge that's hard to retrieve later. This skill captures it as a navigable document — ordered questions, clear answers, and diagrams that make complex concepts stick. The append behavior means you can keep adding to the same document across multiple sessions without losing previous Q&As.
Step 1: Identify Q&A pairs
Scan the conversation history and extract turns where the user asked a conceptual or clarifying question and Claude gave a substantive answer. Skip:
- Pure commands ("create a file", "run this", "generate the HTML") — these are task instructions, not questions
- Meta-questions about Claude's behavior
- Short confirmations or acknowledgements
For each valid Q&A pair, note:
- The user's question (paraphrase to be clean and direct if needed)
- Claude's answer (summarize the key points — the HTML will expand them)
- Whether the topic is architectural/systems/conceptual (→ add a diagram) or factual/procedural (→ diagram optional)
Step 2: Check for existing Q&A file
Before creating anything, look for an existing Q&A file to append to:
- Run
Globfor**/*qa*.htmland**/*q_and_a*.htmland**/*qa_explainer*.htmlin the current working directory. - If the user mentioned a specific file name or path, use that.
- If multiple files exist, use the most recently modified one (check with
ls -t). - If a file is found: append mode — add new Q&As after the last existing one.
- If no file is found: create mode — generate a fresh file.
In append mode, read the existing file to:
- Get the current question count (so new questions are numbered correctly)
- Extract the nav links so you can add to them
- Identify where to insert the new sections (before
</main>)
Step 3: Generate the HTML
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.
- 9d ago First seen · 240 lines · 151 tokens per session scan A bc84ac53580f
conversation-qa is a skill published in the GitHub repository cyberelf/agent_skills (2 stars, last pushed 13d ago), licensed MIT. It adds 151 tokens to every session and 2,918 once invoked, about $0.0008 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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