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.
git clone --depth 1 https://github.com/tranfu-labs/tranfu-skillsWrote 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/commands/tranfu-labs/tranfu-skills/domain)<a href="https://agentmods.dev/commands/tranfu-labs/tranfu-skills/domain"><img src="https://agentmods.dev/badge/commands/tranfu-labs/tranfu-skills/domain/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/commands/tranfu-labs/tranfu-skills/domain"><img src="https://agentmods.dev/badge/commands/tranfu-labs/tranfu-skills/domain.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 | $0.00000 | $0.01404 |
| Opus 5 | $0.00000 | $0.00702 |
| Sonnet 5 | $0.00000 | $0.00281 |
| Haiku 4.5 | $0.00000 | $0.00140 |
Grade A, and why
domain 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 8d 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 -H "Authorization: Bearer $COOLIFY_API_TOKEN" \ How it starts
The opening of the file, as written. The whole thing — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Domain (docker_compose_domains) 操作速查
reconcile 更新分支 B 用。心智模型见 ../references/urls-vs-docker-compose-domains.md 和 ../references/service-fqdn-trap.md。
Application + dockercompose build_pack 形态下, 改域名走
docker_compose_domains字段 (旧 Service 形态走的urls字段 0.8 不再使用)。
tranfu 域名规范
- 形式:
https://<sub-app-name>.tranfu.com:<container-port> <sub-app-name>= composeservices.<name>(命名约束:烤肉串 + 全小写):<container-port>= 容器内部端口(Coolify 翻译成 traefik label,公网仍走 443)- 不带 path(不写
/api、/v2之类——多个 path 走多个 sub-application)
Check:当前域名 vs 期望(reconcile 更新分支 B)
EXPECTED_NAME="<sub-app-name>"
EXPECTED_DOMAIN="https://${EXPECTED_NAME}.tranfu.com:<port>"
curl -sS -H "Authorization: Bearer $COOLIFY_API_TOKEN" \
"$BASE/api/v1/applications/$APP_UUID" \
| jq --arg name "$EXPECTED_NAME" --arg url "$EXPECTED_DOMAIN" '
.applications[] | select(.name == $name) |
if .fqdn == $url then "✓ 已是期望域名"
elif (.fqdn // "") | contains("sslip.io") then "✗ 还是 sslip.io fallback"
else "✗ 不一致: 当前=" + (.fqdn // "null") + " 期望=" + $url
end'
输出 ✓ → check 通过,跳过 act。✗ → 进 act。
Act:写域名(单 sub-application)
JSON_BODY=$(jq -nc \
--arg name "$EXPECTED_NAME" \
--arg domain "$EXPECTED_DOMAIN" \
'{docker_compose_domains: [{name: $name, domain: $domain}]}')
curl -sS -X PATCH \
-w "\nHTTP=%{http_code}\n" \
-H "Authorization: Bearer $COOLIFY_API_TOKEN" \
-H "Content-Type: application/json" \
-d "$JSON_BODY" \
"$BASE/api/v1/applications/$APP_UUID"
返回 200 + {uuid}。立刻 GET 一次校验 sub-application.fqdn 真变了:
curl -sS -H "Authorization: Bearer $COOLIFY_API_TOKEN" "$BASE/api/v1/applications/$APP_UUID" \
| jq '.applications[] | {name, fqdn}'
Act:多 sub-application 一次写
JSON_BODY=$(jq -nc '{
docker_compose_domains: [
{name: "web", domain: "https://app.tranfu.com:3000"},
{name: "api", domain: "https://api.tranfu.com:4000"},
{name: "admin", domain: "https://admin.tranfu.com:5000"}
]
}')
curl -sS -X PATCH \
-H "Authorization: Bearer $COOLIFY_API_TOKEN" \
-H "Content-Type: application/json" \
-d "$JSON_BODY" \
"$BASE/api/v1/applications/$APP_UUID"
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.
- 8d ago First seen · 111 lines · 0 tokens per session scan A 5470f7b5b6c5
domain is a command published in the GitHub repository tranfu-labs/tranfu-skills (2 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,404 tokens. 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 2026-09-03.
Other commands, from other repositories
init
Initialize configurations for Supabase local development.
http-service
Build, review or debug a Bun HTTP service. Loads the http-service skill, then works the task through its workflow.
start-10-1
A guided lesson on setting up clasp, a command-line tool for managing Google Apps Script projects, and connecting it to Google’s Apps Script API.
api-contract-review
Review an API contract (endpoints, request/response shapes, error codes, auth model) BEFORE implementation for naming consistency, versioning, pagination, idempotency, and alignment with existing endpoints. Distinct from review-hard (post-implementation risk) and repo-consistency-sweep (pattern matching on written…
fastapi
FastAPI application design and implementation conventions. Use this skill when building, updating, or reviewing FastAPI services, routers, dependencies, request/response schemas, streaming endpoints, or API tests. Trigger on FastAPI-specific work such as path operation design, dependency injection, response models…
build
Discover an AI Gateway's models and MCP tools, retrieve a credential, and integrate them into your app — call a model, connect MCP tools, or scaffold a runnable agent.