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 getlytos/lytos-cli --skill deploymentgit clone --depth 1 https://github.com/getlytos/lytos-cliWrote 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/getlytos/lytos-cli/deployment)<a href="https://agentmods.dev/skills/getlytos/lytos-cli/deployment"><img src="https://agentmods.dev/badge/skills/getlytos/lytos-cli/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/skills/getlytos/lytos-cli/deployment"><img src="https://agentmods.dev/badge/skills/getlytos/lytos-cli/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 | $0.00054 | $0.01861 |
| Opus 5.5 | $0.00022 | $0.00744 |
| Sonnet 5.5 | $0.00011 | $0.00372 |
| Haiku 4.5 | $0.00005 | $0.00186 |
Grade A, and why
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 1mo 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 — 240 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill — Deployment
This skill defines how to prepare, execute, and validate a deployment. An agent loaded with this skill knows what to check before deploying, how to do it, and how to confirm everything works.
When to invoke this skill
- Before each production release
- When setting up a CI/CD pipeline
- After a critical fix that needs to ship quickly
- To document the deployment procedure for a new project
Procedure
1. Pre-deployment — Checklist
Before any deployment, verify each point:
Code
- All tests pass (unit + E2E)
- The branch is up to date with the main branch
- No merge conflicts
- No forgotten
TODOor temporary code - No hardcoded secrets (API keys, passwords, tokens)
Dependencies
- Dependencies are locked (lock file up to date)
- No dependency added without justification in the issue
- Production versions are consistent with development
Configuration
- Production environment variables are set
- URLs, ports, and paths point to production (not dev)
- Database migrations are ready and reversible
Review
- The PR has been reviewed (code-review skill)
- The issue's done criteria are met
- The human has approved the deployment
2. Deployment — Execution
The deployment follows the pipeline defined by the project. Common formats:
Via CI/CD (recommended)
# Merging to the production branch triggers the pipeline
git checkout main
git merge --no-ff feat/ISS-XXXX-slug
git push origin main
# -> CI/CD takes over (build, test, deploy)
Via manual command
# 1. Build
npm run build # or python -m build, cargo build --release, etc.
# 2. Production test
npm run test:prod # tests on the production build
# 3. Deploy
npm run deploy # or rsync, scp, docker push, kubectl apply, etc.
Rollback — always plan for it
Before deploying, make sure a rollback is possible:
# Identify the current version in production
git log --oneline -1 origin/production
# In case of a problem
git revert HEAD
git push origin main
# or: redeploy the previous tag
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.
- 1mo ago First seen · 240 lines · 54 tokens per session scan A 19dd5c183aba
deployment is a skill published in the GitHub repository getlytos/lytos-cli (2 stars, last pushed 26d ago), licensed MIT. It adds 54 tokens to every session and 1,861 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 2026-08-31.
Other skills, from other repositories
release-announcement
Write a release announcement — changelog, blog post, in-app note, or social post — that leads with user impact, names the audience, and includes upgrade/migration steps without filler.
release-notes
Generate user-facing release notes from tickets, PRDs, or changelogs. Creates clear, engaging summaries organized by category (new features, improvements, fixes). Use when writing release notes, creating changelogs, announcing product updates, or summarizing what shipped.
release
Fully automate a release with version-bump and childhood.
multi-agent-release-manager
Cleans up the workspace, formats code, runs presubmit checks, and uploads CLs to Gerrit.
release-helper
Ensures configuration and code changes are released correctly. Use PROACTIVELY whenever you edit config.json, change any setting, or fix a configuration bug in this project, so the change reaches production.
pack-submit
Package one of this agent's own skills as a standalone community pack and submit it to the aeon registry as a PR.