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 Lingtai-AI/lingtai --skill anthropicgit clone --depth 1 https://github.com/Lingtai-AI/lingtaiWrote 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/lingtai-ai/lingtai/anthropic)<a href="https://agentmods.dev/skills/lingtai-ai/lingtai/anthropic"><img src="https://agentmods.dev/badge/skills/lingtai-ai/lingtai/anthropic/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/lingtai-ai/lingtai/anthropic"><img src="https://agentmods.dev/badge/skills/lingtai-ai/lingtai/anthropic.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 | $0.00039 | $0.00959 |
| Opus 5.5 | $0.00016 | $0.00384 |
| Sonnet 5.5 | $0.00008 | $0.00192 |
| Haiku 4.5 | $0.00004 | $0.00096 |
Grade A, and why
preset-skill-anthropic 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 23d 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 — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
anthropic preset (Anthropic-compatible)
Use this child for the built-in anthropic template (display
"Anthropic-compatible") and for any saved preset whose provider is
anthropic. anthropicPreset in tui/internal/preset/preset.go ships provider
anthropic, an empty model, api_key_env ANTHROPIC_API_KEY, and
base_url null, with web_search on DuckDuckGo, vision inheriting the agent's
own provider, and the skills default. It is an API-key route; the Claude Code
CLI login is the separate claude preset (reference/claude/SKILL.md).
Template-specific settings
base_url— optional. Empty means the official Anthropic API (https://api.anthropic.com). Set it to any Anthropic Messages-compatible endpoint (another vendor's/anthropicroute, a relay, or a local proxy). The value excludes the version path: requests go to{base_url}/v1/messages.api_key_env— the env-var name holding the key (defaultANTHROPIC_API_KEY). Editing and saving the template stamps a fresh per-preset slot (ANTHROPIC_1_API_KEY, ...). The key is sent asx-api-key.model— free text. Use a model ID the configured endpoint serves: for the official API read the Anthropic models documentation (or an authenticatedGET {base_url}/v1/models); for another vendor read that vendor's documentation. Save refuses an empty model.thinking— standard reasoning effort:none,minimal,low,medium,high,xhigh, or omitted (the kernel default); the adapter maps a level to an extended-thinking budget.
There is no wire_api or service_tier on this family. A vendor that only
exposes an OpenAI-compatible endpoint uses reference/openai/SKILL.md.
TUI surfaces to revise
Start at anthropicPreset in tui/internal/preset/preset.go. In
tui/internal/tui/preset_editor.go anthropic has no providerModels entry
(free-text model), base_url is free text with the official endpoint shown
when empty, levelThinkingOptions drives the reasoning row, and the service
tier and wire rows are hidden. /doctor probes this family with
GET {base_url}/v1/models (x-api-key + anthropic-version) and one
max_tokens=1 Messages call (probeLLM in tui/internal/tui/doctor.go).
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.
- 23d ago First seen · 76 lines · 39 tokens per session scan A 24b4bcaff3e8
preset-skill-anthropic is a skill published in the GitHub repository Lingtai-AI/lingtai (507 stars, last pushed 6d ago), licensed Apache-2.0. It adds 39 tokens to every session and 959 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-10-01.
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