Borrowing it
Nothing to install: this file belongs to XAIHT/Tlamatini. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/XAIHT/Tlamatini/main/.claude/skills/tlamatini-agent-creation/SKILL.mdgit 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-agent-creation)<a href="https://agentmods.dev/skills/xaiht/tlamatini/tlamatini-agent-creation"><img src="https://agentmods.dev/badge/skills/xaiht/tlamatini/tlamatini-agent-creation/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-agent-creation"><img src="https://agentmods.dev/badge/skills/xaiht/tlamatini/tlamatini-agent-creation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 6 findings, up to high
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 →
- high Rogue Agent · line 542 Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
- high Rogue Agent · line 555 Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
- high Rogue Agent · line 555 Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
- high Memory Poisoning · line 611 Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
- high Memory Poisoning · line 733 Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
- low Excessive Agency · line 133 Skill's behavior or capabilities extend beyond its stated purpose. Scope creep allows an agent to perform actions unrelated to its documented functionality, increasing the attack surface.Fix: Limit the skill's scope to its documented purpose. Remove instructions that enable the agent to perform actions outside its stated functionality.
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 | $0.00203 | $0.22279 |
| Opus 5 | $0.00102 | $0.11139 |
| Sonnet 5 | $0.00041 | $0.04456 |
| Haiku 4.5 | $0.00020 | $0.02228 |
Grade A, and why
tlamatini-agent-creation scanned grade A with 2 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 4d 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.
431. Verify the server is up at `http://127.0.0.1:8000` first (`curl` the root); if down, ask Angela to start it — never start a second instance (single-bound ports). Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
48. Keep the top-of-module `subprocess.Popen.__init__` monkey-patch (`_chg_guarded_init`) that defaults `creationflags` to `CREATE_NO_WINDOW` — this is the orphan seatbelt; do not remove it. How it starts
The opening of the file, as written. The whole thing — 793 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tlamatini — Complete New-Agent Creation Runbook (700+ steps)
Audience: Claude Code working ON the Tlamatini codebase for Angela. Scope: adding ONE brand-new workflow agent end-to-end across every surface Tlamatini touches — backend pool script, Django view/url, migration, Parametrizer, CSS coloring, all the frontend JS, the
agentic_control_panel.htmlinputs/outputs connector contract, the configuration dialog, Multi-Turn (the wrapped chat-agent tool), the Exec Report, FlowCreator'sagentic_skill.md, FlowHypervisor'smonitoring-prompt.pmt, the command watchdog + orphan reaper, demo "Prompts example" creation,requirements.txt/build.pypackaging, a full Python unit-test module, AND a Playwright regression in Claude's own harness — then docs, lint, migrate, and a visible dogfood run.This skill is the master checklist. The two
@-imported guides (Tlamatini/.agents/workflows/create_new_agent.md,Tlamatini/.mcps/create_new_mcp.md) are the canonical mechanics for individual surfaces; this skill is the superset that also nails the things they leave implicit (watchdog, FlowHypervisor, config dialog, demo prompts, Python tests, Playwright tests, packaging). Read both@-imports and thetlamatini-agent-namingskill first, then execute the steps below in order.
Placeholders used throughout (decide these in Phase 0, then NEVER drift)
| Token | Meaning | Example (Pingerer) |
|---|---|---|
<Display> |
exact-cased display name = DB agentDescription (single source of truth) |
Pingerer |
<lower> |
<Display>.lower(), spaces→nothing for single-word; underscores for multi-word dir |
pingerer |
<dash> |
<Display>.toLowerCase().replace(/\s+/g,'-') — CSS classMap key |
pingerer |
<space> |
<Display>.toLowerCase() preserving spaces — JS connection checks |
pingerer |
<Pascal> |
JS connector symbol fragment update<Pascal>Connection |
Pingerer |
<CAPS> |
ALL-CAPS protocol token base — INI_SECTION_<CAPS> + <CAPS> SPECIAL NOTES |
PINGERER |
<css> |
the canvas/exec-report CSS class root (== <dash> minus dashes for single-word, kept dashed for multi-word; equals <lower> for single-word) |
pingerer |
N |
the agent's idAgent / migration sequence number | (next free) |
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.
- 4d ago Changed · +52 lines 119e3de35862
- 12d ago First seen · 741 lines · 203 tokens per session scan A 82649f82bcfb
tlamatini-agent-creation is a skill published in the GitHub repository XAIHT/Tlamatini (16 stars, last pushed today), licensed MIT. It adds 203 tokens to every session and 22,279 once invoked, about $0.0010 per session on Opus 5. A static security scan graded it A with 2 findings (makes network calls, runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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