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 Haili321/haili-auto-mkt --skill lark-launch-triggergit clone --depth 1 https://github.com/Haili321/haili-auto-mktWrote 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/haili321/haili-auto-mkt/lark-launch-trigger)<a href="https://agentmods.dev/skills/haili321/haili-auto-mkt/lark-launch-trigger"><img src="https://agentmods.dev/badge/skills/haili321/haili-auto-mkt/lark-launch-trigger/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/haili321/haili-auto-mkt/lark-launch-trigger"><img src="https://agentmods.dev/badge/skills/haili321/haili-auto-mkt/lark-launch-trigger.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 | $0.00101 | $0.00989 |
| Opus 5 | $0.00051 | $0.00495 |
| Sonnet 5 | $0.00020 | $0.00198 |
| Haiku 4.5 | $0.00010 | $0.00099 |
Grade A, and why
lark-launch-trigger 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.
How it starts
The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lark Launch Trigger
Use this skill to let a teammate kick off the brevo launch-email pipeline by @mentioning a bot in a Lark group with a product link. The listener receives the mention in about a second over a persistent WebSocket (the process dials out to Lark; no public server, no polling), and either test-sends a prepared email or queues the link for a compose agent.
Boundary
- Never commit
lark_config.json,trigger_config.json, or the queue dir. All three are gitignored at the repo root. - The handler only ever sends ONE TEST email, to
reviewer_email. Mass sending to a contact list stays a human action inside Brevo. - @mentions of anything other than this app's own bot are ignored by design;
so are messages without a link matching
url_filter.
Setup
-
One-time console setup for the Lark app (persistent connection, the
im.message.receive_v1event, version release) and the webhook-bot trap: readreferences/event-subscription.md. Add the app's bot to the group. -
In a working directory, create the two configs (both stay local):
cp skills/lark/templates/lark_config.example.json ./lark_config.json cp skills/lark-launch-trigger/templates/trigger_config.example.json ./trigger_config.json # fill in app_id/app_secret, reviewer_email, url_filter, link_map -
The brevo skill must be installed alongside (same
skills/parent) or pointbrevo_scriptin trigger_config.json atrun_brevo_email.py.BREVO_API_KEYcomes from the working dir's.env.local, as in the brevo skill. -
python3 -m pip install lark-oapi
Run
Foreground (first test):
python3 skills/lark-launch-trigger/scripts/lark_at_listener.py
Always-on (macOS launchd: starts at login, restarts on crash, keeps the machine awake):
bash skills/lark-launch-trigger/deploy/install.sh "$PWD"
launchctl list | grep lark-launch # verify
bash skills/lark-launch-trigger/deploy/uninstall.sh # stop + remove
Then, in the Lark group: @YourBot https://your-platform.example.com/models/your-model
What ships with it
11 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.
- deploy/install.sh 2.3 KB runs code
- deploy/uninstall.sh 277 B runs code
- README.md 3.2 KB
- README.zh.md 3.3 KB
- references/event-subscription.md 4.0 KB
- references/watcher-agent.md 3.1 KB
- scripts/_lark_api.py 3.9 KB runs code
- scripts/handle_launch.py 3.9 KB runs code
- scripts/lark_at_listener.py 4.0 KB runs code
- scripts/poll_trigger.py 5.0 KB runs code
- templates/trigger_config.example.json 850 B
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 · 95 lines · 101 tokens per session scan A 1a02add59ab4
lark-launch-trigger is a skill published in the GitHub repository Haili321/haili-auto-mkt (2 stars, last pushed 3mo ago), licensed MIT. It adds 101 tokens to every session and 989 once invoked, about $0.0005 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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