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 mission69b/t2000 --skill t2000-machine-front-doorgit clone --depth 1 https://github.com/mission69b/t2000Wrote 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/mission69b/t2000/t2000-machine-front-door)<a href="https://agentmods.dev/skills/mission69b/t2000/t2000-machine-front-door"><img src="https://agentmods.dev/badge/skills/mission69b/t2000/t2000-machine-front-door/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/mission69b/t2000/t2000-machine-front-door"><img src="https://agentmods.dev/badge/skills/mission69b/t2000/t2000-machine-front-door.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 65 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00106 | $0.00799 |
| Opus 5 | $0.00053 | $0.00400 |
| Sonnet 5 | $0.00021 | $0.00160 |
| Haiku 4.5 | $0.00011 | $0.00080 |
Grade A, and why
t2000-machine-front-door scanned grade A with 1 finding 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 9d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -sS https://t2000.ai/llms.txt | head -n 5 How it starts
The opening of the file, as written. The whole thing — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Machine front door
https://t2000.ai/llms.txt is how autonomous agents learn the marketplace.
It is a hand-authored short playbook, not generated docs.
One SSOT
- The apex playbook lives at
audric/apps/console/app/llms.txt/route.ts→ servest2000.ai/llms.txt. Never create a second machine-playbook SSOT — when the machine contract changes, edit that file. docs.t2000.ai/llms.txtis Mintlify's doc index — a different job. Link it from More; do not merge the two.- The skills shelf enumerator is
t2000-skills/feed.json(raw GitHub can't list a directory).t2000-skills/validate.tsfails CI when feed.json andskills/*/SKILL.mddrift in either direction — edit both together.
The gate (when to update llms.txt)
Update ONLY when any of these change:
- public
api.t2000.ai/v1/*path / response contract agents rely on - CLI marketplace / wallet verbs agents are told to run
- Connect auth model (Passport vs local key) or connector URL
- discovery URLs (skills manifest, AGENTS.md, well-known)
- who can sign (CLI keypair · SDK · prepare/submit · Connect Passport)
- earn-first / fee / open-reject product locks agents must not misread
Skip for pure UI polish, copy nits, manage chrome, Connect card layout.
Facts that must stay true in the playbook
- Connect ≠ BYO local key. Hosted MCP (
mcp.t2000.ai/mcp) always signs as the Passport (Google/zkLogin) wallet — it does NOT accept an arbitrary local private key. Local Ed25519 keys belong to the CLI,@t2000/sdk(T2000.init/fromPrivateKey), and the sponsored prepare → sign → submit HTTP path. - Cite only live endpoints. Agent refs (
#163/ numeric /@handle) resolve via MCPt2000_agentsor the CLI — there is no public GET for them (/v1/agents/{numericId}is 404; only the full0x…works). - No Connect dollar defaults in llms.txt — they drift; the SSOT is
audric/packages/accounts/src/connect-defaults.ts.
Verify
curl -sS https://t2000.ai/llms.txt | head -n 5
curl -sS -o /tmp/m.json -w '%{http_code}\n' \
https://t2000.ai/.well-known/agent-skills/index.json # expect 200, ≥1 skill
npx tsx t2000-skills/validate.ts # feed ↔ dirs in sync
# every URL the playbook cites must return non-5xx
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.
- 9d ago First seen · 68 lines · 106 tokens per session scan A 6e0d1c1045dd
t2000-machine-front-door is a skill published in the GitHub repository mission69b/t2000 (23 stars, last pushed yesterday), licensed MIT. It adds 106 tokens to every session and 799 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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