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 agentmods add skills/trustmybot/plugin/tmb_cheatcodenpx skills add trustmybot/plugin --skill tmb_cheatcodegit clone --depth 1 https://github.com/trustmybot/pluginWhat 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 | $0.00093 | $0.01369 |
| Opus 5 | $0.00046 | $0.00685 |
| Sonnet 5 | $0.00019 | $0.00274 |
| Haiku 4.5 | $0.00009 | $0.00137 |
Grade A, and why
tmb_cheatcode 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 yesterday.
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 — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
cheatcode
Already installed?
When the Human refers to "cheatcode(s)" directly — "do the cheatcodes work", "which cheatcodes are installed", "is X already a cheatcode" — inspect the installed registry first with cheatcode_list(agent='bro') (the cheatcodes table). That's the read surface for what's on hand; it's distinct from the discovery pipeline below (search → vet → install), which is for closing a gap that nothing installed covers.
Is the gap real?
Check the request against the project's surface — world model, installed skills/MCP, CLAUDE.md. It's a cheatcode play when:
- The task needs a well-trodden domain with mature tooling (PDF extraction, OCR, a cloud SDK, a protocol client) and the project has nothing for it.
- Building it in-repo would duplicate something the ecosystem already maintains.
- The Human asked "is there a tool/skill for X."
If code you'd write anyway covers it, or a capability already on hand does, it's normal planning — route it that way.
Find and recommend
Name the capability and call cheatcode_search once — it searches, ranks, and records the audit row. Pin kind when the shape is obvious; leave it for the schema default when unsure.
Tier+relevance order is an input, not the verdict — you hold the actual requirement and know the codebase, so the pick is yours. Read what each candidate does, commit to the best fit (top two-three only if genuinely close), and lead with the reasoning plus its tier and source URL. Installing is a separate gate.
Vet before recommending
Once you've landed on a pick, vet it before putting it in front of the Human:
cheatcode_vet(agent='bro', candidate=<the pick>)
Pass the candidate straight through — the same {name, kind, source_url, tier} shape cheatcode_search handed you. One call returns a deterministic trust_tier (trusted, caution, untrusted, unknown), the capabilities[] it ships, and the audit row.
The trust_tier is a reproducible read of the signals; the install judgment is still yours. Weigh the tier against what the cheatcode would touch — capabilities[] carries the real weight, since a cheatcode shipping hooks, an MCP server, or scripts executes inside your project. If the signals come back thin (unknown, no maintainer, offline gather), say so plainly; an unconfirmed reputation is a finding the Human needs.
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.
- yesterday First seen · 76 lines · 93 tokens per session scan A 8c53080875e2
tmb_cheatcode is a skill published in the GitHub repository trustmybot/plugin (6 stars, last pushed 2d ago), licensed MIT. It adds 93 tokens to every session and 1,369 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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