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
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/sickn33/agentic-awesome-skillsnpx agentmods add skills/sickn33/agentic-awesome-skills/agent-manager-skillWrote 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/agent-manager-skill)<a href="https://agentmods.dev/skills/sickn33/agentic-awesome-skills/agent-manager-skill"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/agent-manager-skill/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/agent-manager-skill"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/agent-manager-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- 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 | $0.00029 | $0.00518 |
| Opus 5.5 | $0.00012 | $0.00207 |
| Sonnet 5.5 | $0.00006 | $0.00104 |
| Haiku 4.5 | $0.00003 | $0.00052 |
Grade A, and why
agent-manager-skill 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 11d 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
8 near-identical copies found in the catalogue:
- agent-manager-skill — 100% identical, 14 lines differ
- agent-manager-skill — 95% identical, 16 lines differ
- agent-manager-skill — 95% identical, 0 lines differ
- agent-manager-skill — 95% identical, 16 lines differ
- agent-manager-skill — 95% identical, 16 lines differ
- agent-manager-skill — 95% identical, 14 lines differ
- agent-manager-skill — 95% identical, 16 lines differ
- agent-manager-skill — 95% identical, 16 lines differ
How it starts
The opening of the file, as written. The whole thing — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Manager Skill
When to Use
Use this skill when you need to:
- run multiple local CLI agents in parallel (separate tmux sessions)
- start/stop agents and tail their logs
- assign tasks to agents and monitor output
- prepare a scoped plan for repeated agent work only when scheduling is explicitly requested
Prerequisites
This AAS entrypoint does not bundle the manager runtime. The historical upstream URL was unavailable during this review; do not execute its examples until an actual reviewed installation and CLI help confirm them. The original install option is retained as attribution, not an automatic setup step:
git clone https://github.com/fractalmind-ai/agent-manager-skill.git
Historical Upstream Command Shapes
The clone directory above differs from the agent-manager/ path below. Resolve the actual installed script path rather than assuming these examples work from the current directory. Employee IDs and team files are examples and must be replaced with verified workspace configuration.
python3 agent-manager/scripts/main.py doctor
python3 agent-manager/scripts/main.py list
python3 agent-manager/scripts/main.py start EMP_0001
python3 agent-manager/scripts/main.py monitor EMP_0001 --follow
python3 agent-manager/scripts/main.py assign EMP_0002 <<'EOF'
Follow teams/fractalmind-ai-maintenance.md Workflow
EOF
Bounded Operation
List the actual configured agents and existing tmux sessions first. Starting, assigning or stopping an agent requires authorization for that task and target. Preserve unrelated sessions, record the specific session/PID and inspected command, and redact logs before sharing. A session being alive does not prove its task completed; verify the requested result. No cron installer or automatic scheduler is bundled, so this guide does not claim cron support.
Notes
- Requires
tmuxandpython3. - Agents are configured under an
agents/directory (see the repo for examples).
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
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.
- 11d ago Changed · +6 lines · +1 tokens per session 1e40e875ec8c
- 1mo ago First seen · 48 lines · 28 tokens per session scan A 022b00b9efd6
agent-manager-skill is a skill published in the GitHub repository sickn33/agentic-awesome-skills (48,503 stars, last pushed yesterday), licensed MIT. It adds 29 tokens to every session and 518 once invoked, about $0.0001 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 2026-08-30.
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