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 XAIHT/Tlamatini --skill tlamatini_new_acp_agentgit clone --depth 1 https://github.com/XAIHT/TlamatiniWrote 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/xaiht/tlamatini/tlamatini_new_acp_agent)<a href="https://agentmods.dev/skills/xaiht/tlamatini/tlamatini_new_acp_agent"><img src="https://agentmods.dev/badge/skills/xaiht/tlamatini/tlamatini_new_acp_agent/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/xaiht/tlamatini/tlamatini_new_acp_agent"><img src="https://agentmods.dev/badge/skills/xaiht/tlamatini/tlamatini_new_acp_agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00059 | $0.01047 |
| Opus 5 | $0.00030 | $0.00524 |
| Sonnet 5 | $0.00012 | $0.00209 |
| Haiku 4.5 | $0.00006 | $0.00105 |
Grade A, and why
tlamatini-new-acp-agent 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 12d 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
New ACP agent
Read Tlamatini/.agents/workflows/create_new_agent.md first. It is the
ground truth for the 8-step contract. This skill drives that procedure
end-to-end.
Steps
- Validate
agent_nameis snake_case ASCII; reject collisions with existing agents inTlamatini/agent/agents/. - Copy
shoter.pyboilerplate into the new directory; rename references. Temp/Templates policy (2026-06-02): if the agent creates temp files, add the module-topif (os.environ.get('TLAMATINI_TEMP') or '').strip(): … tempfile.tempdir = …guard (verbatim fromexecuter.py— anif-block, not adef, so ruff E402 stays clean); if it scaffolds a project/template dir (firmware/engine style), default the parent to<app>/Templates(TLAMATINI_TEMPLATES). Seeprompt.pmtRules 15/16 +agent/path_guard.py. - Add a Django view + URL pair for the connection-update endpoint.
- Create the migration that seeds an
Agentrow with the display name. - Add the CSS gradient block in
agentic_control_panel.cssand the hover variant. - Update the four JS files: connector, classMap (6 locations), undo/redo, .flw load.
- Update
agentic_skill.mdandREADME.md(agent count, table, classification, glossary, changelog, API table). - Run
python -m ruff checkandnpm run lint. Stop on any error and report.
Output
Return:
{
"files_changed": ["..."],
"migration_id": "00NN_add_<agent_name>",
"lint_summary": "ruff: 0 errors; eslint: 0 errors"
}
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.
- 12d ago First seen · 95 lines · 59 tokens per session scan A dc11d73ea8a1
tlamatini-new-acp-agent is a skill published in the GitHub repository XAIHT/Tlamatini (16 stars, last pushed today), licensed MIT. It adds 59 tokens to every session and 1,047 once invoked, about $0.0003 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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