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 agents-generatorgit 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/agents-generator)<a href="https://agentmods.dev/skills/sickn33/agentic-awesome-skills/agents-generator"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/agents-generator/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/agents-generator"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/agents-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk fail
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Memory Poisoning · line 34 Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
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 | $0.00050 | $0.02233 |
| Opus 5 | $0.00025 | $0.01117 |
| Sonnet 5 | $0.00010 | $0.00447 |
| Haiku 4.5 | $0.00005 | $0.00223 |
Grade A, and why
agents-generator 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 5d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- agents-generator — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: agents-generator
[!WARNING] [Authorized Use Only] This skill writes or updates
AGENTS.md,.agents/rules/, optional platform instruction files, and timestamped backups in the target project. Read the detected inputs and proposed outputs first, obtain approval before changing target files, and use it only inside the user's intended project scope.
When to Use
Use this skill when the user wants to:
- create a complete, project-specific
AGENTS.mdinstead of generic agent rules; - generate companion rules for detected frameworks, tests, databases, styling, or monorepo packages;
- create a minimal
AGENTS.md, preview changes without writing, or update existing instructions after the stack changes.
Do not use it to invent conventions without inspecting the target project, to overwrite instructions outside the user's scope, or to treat generated guidance as a substitute for human review.
Generates a tailored AGENTS.md + .agents/rules/*.md for the target project — not a template with placeholders, but a living document that matches the project's real toolchain.
What you get
From a project that uses Bun + Next.js 16 + Tailwind + Vitest + Server Actions, the skill produces:
AGENTS.md
├── Setup commands: bun install, bun dev, bun run test:run, bun doctor
├── Verification Cycle: bunx tsc --noEmit → bun run lint → bun run test:run → bun doctor
├── Conventions: "Bun always. Plain TypeScript types + guards."
└── Architecture → .agents/rules/architecture.md
.agents/rules/
├── architecture.md ← ASCII diagram with real directories, exact versions
├── frontend-patterns.md ← Component rules, state locations, trust boundaries
├── server-actions.md ← downloadVideo() flow, DownloadResult type, rate limiter
├── testing.md ← "74 tests in 5 files", vitest commands, mock patterns
├── git-workflow.md ← Conventional commits, pre-commit checks
└── sdd-workflow.md ← Preflight defaults, post-apply verification
Rules NOT generated: backend.md (no NestJS), database.md (no ORM), i18n.md (hardcoded Spanish), forms.md (manual inputs), styling.md (Tailwind in frontend rules).
What ships with it
19 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- assets/agents-full.md 12 KB
- assets/agents-minimal.md 1.8 KB
- assets/agents-nested.md 1.9 KB
- assets/architecture.md 1.6 KB
- assets/backend.md 1.4 KB
- assets/claude.md 1.1 KB
- assets/database.md 1.4 KB
- assets/forms.md 1.6 KB
- assets/frontend-patterns.md 1.3 KB
- assets/git-workflow.md 1.6 KB
- assets/i18n.md 1.6 KB
- assets/platform.md 2.8 KB
- assets/sdd-workflow.md 1.7 KB
- assets/server-actions.md 1.0 KB
- assets/styling.md 1.9 KB
- assets/testing.md 1.9 KB
- references/decision-matrix.md 18 KB
- references/example-output/README.md 6.0 KB
- references/template-filling-guide.md 5.1 KB
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.
- 5d ago First seen · 164 lines · 50 tokens per session scan A 176cbd2d4e59
agents-generator is a skill published in the GitHub repository sickn33/agentic-awesome-skills (46,184 stars, last pushed yesterday), licensed MIT. It adds 50 tokens to every session and 2,233 once invoked, about $0.0003 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 2026-09-05.
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