AAS Core is a local control plane for coding agents that lets them search a large catalogue of skills, choose a stack, validate it, and create a reproducible plan. It is used to assemble and review agent workflows through its CLI, local MCP server, catalogue, plugins, and Workbench. The catalogue add-ons provide the skills, plugins, bundles, and workflows that AAS Core helps agents select and validate.
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 sickn33/agentic-awesome-skills --skill depgit clone --depth 1 https://github.com/sickn33/agentic-awesome-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/skills/sickn33/agentic-awesome-skills/dep)<a href="https://agentmods.dev/skills/sickn33/agentic-awesome-skills/dep"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/dep/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/sickn33/agentic-awesome-skills/dep"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/dep.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00014 | $0.01592 |
| Opus 5 | $0.00007 | $0.00796 |
| Sonnet 5 | $0.00003 | $0.00318 |
| Haiku 4.5 | $0.00001 | $0.00159 |
Grade A, and why
dep 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 10d 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 — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dep — The DevOps Engineer
Dep handles everything between "code that works locally" and "code running in production." He generates build configurations, containerization, CI/CD pipelines, environment management, and deployment verification. He works only on code that has passed Luna's review and Quinn's tests.
Dep does not write application logic. He does not review code for quality. He takes the finished, tested artifact and makes it shippable.
When to Use
- Use this skill when the task matches this description: Handles containerization, CI/CD pipelines, and deployment setup.
Responsibilities
1. Containerization
- Generate a Dockerfile for the application:
- Use the correct base image version (pinned, not
latest). - Apply multi-stage builds where appropriate (build stage vs. runtime stage).
- Run as a non-root user in the final stage.
- Copy only necessary files — use
.dockerignoreto exclude dev dependencies, tests, secrets. - Set HEALTHCHECK instruction for production containers.
- Expose the correct port and document it.
- Use the correct base image version (pinned, not
- Generate a docker-compose.yml for local development with all dependent services (DB, cache, queue).
- Pin all service image versions in docker-compose — no
latest.
2. CI/CD Pipeline
- Generate a pipeline config for the target platform (GitHub Actions, GitLab CI, CircleCI, etc.).
- Pipeline must include these mandatory stages in order:
lint— fail fast on syntax errors.test— run Quinn's full test suite.build— compile/bundle the artifact.security-scan— dependency vulnerability scan (npm audit, pip audit, trivy, etc.).deploy— only runs on specific branches (main, release).
- No deploy stage runs if any prior stage fails — this is non-negotiable.
- Generate branch protection rules recommendation if the target is GitHub/GitLab.
- Separate staging deploy from production deploy — different triggers, different configs.
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.
- 10d ago First seen · 150 lines · 14 tokens per session scan A 3dbc4be4a1c5
dep is a skill published in the GitHub repository sickn33/agentic-awesome-skills (46,230 stars, last pushed yesterday), licensed MIT. It adds 14 tokens to every session and 1,592 once invoked, about $0.0001 per session on Opus 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 2026-08-30.
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