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 Sttrevens/4dgames-skills --skill 4d-bot-integrationgit clone --depth 1 https://github.com/Sttrevens/4dgames-skillsWrote 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/sttrevens/4dgames-skills/4d-bot-integration)<a href="https://agentmods.dev/skills/sttrevens/4dgames-skills/4d-bot-integration"><img src="https://agentmods.dev/badge/skills/sttrevens/4dgames-skills/4d-bot-integration/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/sttrevens/4dgames-skills/4d-bot-integration"><img src="https://agentmods.dev/badge/skills/sttrevens/4dgames-skills/4d-bot-integration.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 | $0.00044 | $0.00609 |
| Opus 5 | $0.00022 | $0.00304 |
| Sonnet 5 | $0.00009 | $0.00122 |
| Haiku 4.5 | $0.00004 | $0.00061 |
Grade A, and why
4d-bot-integration 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 — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
4D Bot Integration
Use this skill when working with 4D Games bot runtimes or related Feishu/Lark channel workers. The skill is intentionally conservative: production bot systems carry tenant, customer, permission, and message-delivery risk.
Scope
Use for:
- understanding bot runtime architecture;
- routing messages between Feishu/Lark channels and agent workers;
- integrating Codex/AI workers behind a bot gateway;
- evaluating tenant isolation, sender identity, callback, quota, and tool bridge boundaries;
- comparing a lightweight personal agent inbox with a production bot runtime.
Do not use this skill to expose private tenant config, customer chat content, API tokens, webhook secrets, or internal deployment credentials.
Workflow
- Orient in the target repo.
- Read
README.md,AGENTS.md,CLAUDE.md, and any bot prompt/runtime docs the repo provides. - Identify whether the project is a production bot, a local worker, a sidecar, or a personal automation.
- Read
- Map the message path.
- inbound channel;
- normalized message envelope;
- tenant/user identity;
- agent worker call;
- callback/send path;
- logging and failure recovery.
- Check boundaries.
- Does the worker know which tenant/chat/user it serves?
- Are tools scoped by tenant and permission?
- Are customer messages separated from local/personal experiments?
- Is there a kill switch or fallback behavior?
- Make changes only when the requested scope is explicit.
- Prefer small adapters and contracts over broad runtime rewrites.
- Do not mix personal health/project automations into customer bot runtime paths unless the user has explicitly approved that architecture.
- Verify with safe tests or dry runs.
- Unit tests for routing and permission rules;
- dry-run sends where possible;
- log inspection without dumping private message bodies;
- explicit residual risk.
Output Shape
## Runtime Read
- Entry:
- Worker:
- Send/callback:
- Tenant boundary:
- Tool boundary:
## Change Or Recommendation
- Scope:
- Files likely involved:
- Risk:
- Verification:
- Rollback:
What ships with it
4 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 · 86 lines · 44 tokens per session scan A 8ec02d00749c
4d-bot-integration is a skill published in the GitHub repository Sttrevens/4dgames-skills (5 stars, last pushed 2mo ago), licensed MIT. It adds 44 tokens to every session and 609 once invoked, about $0.0002 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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