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 wecode-ai/Wegent --skill conversation_to_promptgit clone --depth 1 https://github.com/wecode-ai/WegentWrote 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/wecode-ai/wegent/conversation_to_prompt)<a href="https://agentmods.dev/skills/wecode-ai/wegent/conversation_to_prompt"><img src="https://agentmods.dev/badge/skills/wecode-ai/wegent/conversation_to_prompt/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/wecode-ai/wegent/conversation_to_prompt"><img src="https://agentmods.dev/badge/skills/wecode-ai/wegent/conversation_to_prompt.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00021 | $0.00449 |
| Opus 5 | $0.00010 | $0.00225 |
| Sonnet 5 | $0.00004 | $0.00090 |
| Haiku 4.5 | $0.00002 | $0.00045 |
Grade A, and why
conversation_to_prompt 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 10d 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.
What it actually says
Conversation To Prompt Skill
Critical Output Protocol
You must output only the final prompt text body.
- No markdown code fences.
- No JSON.
- No explanation before or after the prompt.
- No trailing commentary.
Purpose
Transform a full task conversation into a reusable prompt draft for future collaboration.
This skill outputs one final prompt text.
The output must be directly usable as a system prompt body.
Input Contract
The caller provides normalized conversation messages and generation constraints.
Output Contract
Return plain text prompt only.
The prompt must be non-empty and follow the required structure below.
Multi-Stage Flow
- Analyze conversation:
- Extract stable collaboration preferences.
- Extract reusable task methods.
- Identify one-off context that must be removed.
- Generate first draft:
- Produce one complete prompt body.
- Evaluate draft:
- Check structure, clarity, and reusability.
- Reject summary-style outputs.
- Rewrite if needed:
- Produce one corrected final draft.
- Final protocol check:
- Ensure output is plain text prompt only.
- Ensure there is no extra text before or after the prompt.
Required Prompt Structure
你是{助手身份},负责{核心职责}。
你的工作方式:
- {协作偏好 1}
- {协作偏好 2}
处理任务时请遵循以下原则:
- {任务方法 1}
- {任务方法 2}
输出要求:
- {输出要求 1}
- {输出要求 2}
Evaluation Rules
Reject and rewrite if any condition is true:
- The prompt does not start with assistant identity and responsibility.
- The output reads like conversation summary instead of reusable instructions.
- One-off project details or temporary decisions leak into the draft.
- Instructions are vague and not actionable.
- Instructions contain internal conflicts.
- Output contains markdown wrappers or extra text outside prompt body.
Forbidden Patterns
- Returning ```json fenced blocks.
- Returning bullet summary instead of the required prompt structure.
- Returning JSON objects.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago First seen · 89 lines · 21 tokens per session scan A 7e61fb7b271c
conversation_to_prompt is a skill published in the GitHub repository wecode-ai/Wegent (820 stars, last pushed today), licensed Apache-2.0. It adds 21 tokens to every session and 449 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 2026-08-30.
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