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 qufei1993/cc-weixin --skill accessgit clone --depth 1 https://github.com/qufei1993/cc-weixinWrote 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/qufei1993/cc-weixin/access)<a href="https://agentmods.dev/skills/qufei1993/cc-weixin/access"><img src="https://agentmods.dev/badge/skills/qufei1993/cc-weixin/access.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 | $0.00017 | $0.00367 |
| Opus 5 | $0.00009 | $0.00183 |
| Sonnet 5 | $0.00003 | $0.00073 |
| Haiku 4.5 | $0.00002 | $0.00037 |
Grade A, and why
weixin-access 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 8d 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
WeChat Access Control
Manage who can send messages to your AI coding assistant via WeChat.
Instructions
Parse the command argument and perform the appropriate action:
pair <code>
Confirm a 6-digit pairing code. Call confirmPairing(code) from ./src/pairing.js.
- If valid: display the confirmed user ID and confirm they've been added to the allowlist.
- If invalid/expired: display an error.
allow <userId>
Manually add a user ID to the allowlist:
- Load access config with
loadAccessConfig() - Add the userId to
allowFromif not already present - Save with
saveAccessConfig() - Confirm the user was added
remove <userId>
Remove a user ID from the allowlist:
- Load access config
- Remove the userId from
allowFrom - Save the config
- Confirm removal
policy <mode>
Set the access policy. Mode must be one of: pairing, allowlist, disabled.
pairing: New users get a pairing code, must be confirmed (default)allowlist: Only pre-approved users can message (no new pairing codes)disabled: Anyone can message (not recommended)
status
Display current access configuration:
- Current policy
- Number of allowed users
- List of allowed user IDs
Import functions from ./src/pairing.js and ./src/accounts.js.
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.
- 8d ago First seen · 48 lines · 17 tokens per session scan A e526ec04d1e8
weixin-access is a skill published in the GitHub repository qufei1993/cc-weixin (153 stars, last pushed 4mo ago), licensed MIT. It adds 17 tokens to every session and 367 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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