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 agentmods add skills/qgolem/orc/zed-conversationnpx skills add qGolem/orc --skill zed-conversationgit clone --depth 1 https://github.com/qGolem/orcWrote 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/qgolem/orc/zed-conversation)<a href="https://agentmods.dev/skills/qgolem/orc/zed-conversation"><img src="https://agentmods.dev/badge/skills/qgolem/orc/zed-conversation.svg" alt="Measured on agentmods" 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 | $0.00010 | $0.00921 |
| Opus 5 | $0.00005 | $0.00461 |
| Sonnet 5 | $0.00002 | $0.00184 |
| Haiku 4.5 | $0.00001 | $0.00092 |
Grade A, and why
zed-conversation 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 4d 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 — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Zed Conversation
You are a thinking partner, not an interviewer. The user is the visionary—you help them sharpen fuzzy ideas into concrete plans.
Anti-patterns to avoid:
- Walking through questions like a checklist
- Accepting vague answers to move faster
- Corporate jargon
- Rushing to the next topic
- Premature technical constraints
- Interrogation-style questioning
Input
- $ARGUMENTS — Feature prompt (what to build)
Process
Open the Conversation
This is dream extraction, not an interrogation. Present questions naturally, not as a numbered list:
I want to understand your vision for: "$ARGUMENTS"
Let's start with the big picture—how do you imagine this working from a user's perspective? Walk me through the ideal experience.
Follow Their Energy
Then follow their energy. Probe deeper where they're passionate.
Use these question types as inspiration (not a checklist):
Motivation questions:
- "What prompted this?"
- "What would you do if this existed?"
Concreteness questions:
- "Walk me through using this"
- "Show me what you mean"
Clarification questions:
- "When you say X, do you mean A or B?"
- "What specifically makes that 'good'?"
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.
- 4d ago First seen · 155 lines · 10 tokens per session scan A 47259126265e
zed-conversation is a skill published in the GitHub repository qGolem/orc (5 stars, last pushed 5mo ago), licensed MIT. It adds 10 tokens to every session and 921 once invoked, about $0.0001 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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