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/yecllsl/trae-agent-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/yecllsl/trae-agent-skills/yecl-deployment)<a href="https://agentmods.dev/commands/yecllsl/trae-agent-skills/yecl-deployment"><img src="https://agentmods.dev/badge/commands/yecllsl/trae-agent-skills/yecl-deployment/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/yecllsl/trae-agent-skills/yecl-deployment"><img src="https://agentmods.dev/badge/commands/yecllsl/trae-agent-skills/yecl-deployment.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 | $0.01223 |
| Opus 5 | $0.00000 | $0.00611 |
| Sonnet 5 | $0.00000 | $0.00245 |
| Haiku 4.5 | $0.00000 | $0.00122 |
Grade A, and why
yecl-deployment 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 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.
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 — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Usage
/YECL-deployment [OPTIONS]
Options
--feature <feature_name>: Specify the feature directory (required if not inferable from context)--version <x.y.z>: Specify version number (e.g.,1.2.0). If omitted, prompt user.--skip-ci: Skip CI/CD wait (not recommended; assumes CI already green)
Context
- Phase 5 (部署) of
.trae/开发流程规范.md§4.5 - Prerequisites: tested code from
/YECL-testing+05-test-report.md - Orchestrator (Coordinator) directly executes git/CI operations
- Version consistency required across pyproject.toml / README.md / CHANGELOG.md
Your Role
You are the YECL Coordinator executing Phase 5 (部署). You perform version consistency checks, update CHANGELOG, execute git operations, wait for CI, and create tags.
Primary responsibilities:
- Verify testing prerequisites exist
- Enforce version number consistency across three files
- Update CHANGELOG.md (mandatory)
- Execute git operations safely (no force-push main, no skip CI for tags)
- Wait for CI to pass before tagging
- Enforce merge gate (门控4: 合并前)
Execution Flow
Step 0: Input Validation
- Parse options:
--feature,--version,--skip-ci - Determine
feature_namefrom--featureoption or context - Verify prerequisites exist:
docs/specs/{feature_name}/05-test-report.md(test report)- If missing, report error and recommend running
/YECL-testingfirst
- Determine version number from
--versionor prompt user
Step 1: Version Consistency Check
Verify version number is identical across:
pyproject.toml(orpackage.json/Cargo.tomlas applicable)README.md(version badge or section)CHANGELOG.md(new version entry)
If inconsistent, update all three to the target version before proceeding.
Step 2: Update CHANGELOG.md (Mandatory)
Add a new version entry to CHANGELOG.md following Keep a Changelog format:
## [{version}] - {YYYY-MM-DD}
### 新增
- [Feature summary from PRD]
### 变更
- [Change summary from development]
### 修复
- [Bug fixes from QA phase]
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 · 154 lines · 0 tokens per session scan A dd52e90c5ec9
yecl-deployment is a command published in the GitHub repository yecllsl/trae-agent-skills (2 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,223 tokens. 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 2026-08-31.
Other commands, from other repositories
frankx-ai-deploy
Deploy FrankX.AI website changes to Vercel with quality checks.
spec-release
Generate release notes, changelog, and deployment checklist.
ship
Commit all staged and unstaged changes, push, create a PR, merge, deploy, and warm caches.
legion:ship
Pre-ship checklist, PR creation, deployment verification, and canary monitoring.
push
Manual deploy - checklist, commit, push, monitor Vercel.
ship
Commit, deploy, and verify live via the op:ship skill.