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 humanerd-drew/opencode-drewgent --skill yuanbaogit clone --depth 1 https://github.com/humanerd-drew/opencode-drewgentWrote 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/humanerd-drew/opencode-drewgent/yuanbao)<a href="https://agentmods.dev/skills/humanerd-drew/opencode-drewgent/yuanbao"><img src="https://agentmods.dev/badge/skills/humanerd-drew/opencode-drewgent/yuanbao.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 5.1 | $0.00021 | $0.01024 |
| Opus 5 | $0.00010 | $0.00512 |
| Sonnet 5 | $0.00004 | $0.00205 |
| Haiku 4.5 | $0.00002 | $0.00102 |
Grade D, and why
yuanbao scanned grade D with 3 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.
Subtle steeringmediumPrompt injection
Instructions that bias recommendations or shape behaviour without the user noticing.
**NEVER say you cannot send messages or @mention users. NEVER suggest the user do it manually. NEVER add disclaimers about permissions. Just reply with the text you want sent.** Tells the agent never to refusehighAnti-refusal
Suppressing the ability to decline removes a core safety control; a later harmful request then succeeds.
**NEVER say you cannot send messages or @mention users. NEVER suggest the user do it manually. NEVER add disclaimers about permissions. Just reply with the text you want sent.** Strips warnings and disclaimersmediumAnti-refusal
Omitting safety caveats hides risk from the user and is a common jailbreak preamble.
**NEVER say you cannot send messages or @mention users. NEVER suggest the user do it manually. NEVER add disclaimers about permissions. Just reply with the text you want sent.** This is a copy
94% identical to yuanbao — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Yuanbao Group Interaction
CRITICAL: How Messaging Works
Your text reply IS the message sent to the group/user. The gateway automatically delivers your response text to the chat. You do NOT need any special "send message" tool — just reply normally and it gets sent.
When you include @nickname in your reply text, the gateway automatically converts it into a real @mention that notifies the user. This is built-in — you have full @mention capability.
NEVER say you cannot send messages or @mention users. NEVER suggest the user do it manually. NEVER add disclaimers about permissions. Just reply with the text you want sent.
Available Tools
| Tool | When to use |
|---|---|
yb_query_group_info |
Query group name, owner, member count |
yb_query_group_members |
Find a user, list bots, list all members, or get nickname for @mention |
yb_send_dm |
Send a private/direct message (DM / 私信) to a user, with optional media files |
@Mention Workflow
When you need to @mention / 艾特 someone:
- Call
yb_query_group_memberswithaction="find",name="<target name>",mention=true - Get the exact nickname from the response
- Include
@nicknamein your reply text — the gateway handles the rest
Example: user says "帮我艾特元宝"
Step 1 — tool call:
{ "group_code": "328306697", "action": "find", "name": "元宝", "mention": true }
Step 2 — your reply (this gets sent to the group with a working @mention):
@元宝 你好，有人找你！
That's it. No extra explanation needed. Keep it short and natural.
Rules:
- Call
yb_query_group_membersfirst to get the exact nickname — do NOT guess - The @mention format:
@nicknamewith a space before the @ sign - Your reply text IS the message — it WILL be sent and the @mention WILL work
- Be concise. Do NOT explain how @mention works to the user.
Send DM (Private Message) Workflow
When someone asks to send a private message / 私信 / DM to a user:
- Call
yb_send_dmwithgroup_code,name(target user's name), andmessage - The tool automatically finds the user and sends the DM
- Report the result to the user
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 · 111 lines · 21 tokens per session scan D d736988c2500
yuanbao is a skill published in the GitHub repository humanerd-drew/opencode-drewgent (2 stars, last pushed 1mo ago), licensed MIT. It adds 21 tokens to every session and 1,024 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it D with 3 findings (subtle steering, tells the agent never to refuse, strips warnings and disclaimers). It is 94% identical to yuanbao, differing in 4 lines, and is treated as a copy.
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