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 avizmarlon/agent-skills --skill local-service-autostartgit clone --depth 1 https://github.com/avizmarlon/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/skills/avizmarlon/agent-skills/local-service-autostart)<a href="https://agentmods.dev/skills/avizmarlon/agent-skills/local-service-autostart"><img src="https://agentmods.dev/badge/skills/avizmarlon/agent-skills/local-service-autostart/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/avizmarlon/agent-skills/local-service-autostart"><img src="https://agentmods.dev/badge/skills/avizmarlon/agent-skills/local-service-autostart.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 | $0.00052 | $0.01016 |
| Opus 5.5 | $0.00021 | $0.00406 |
| Sonnet 5.5 | $0.00010 | $0.00203 |
| Haiku 4.5 | $0.00005 | $0.00102 |
Grade A, and why
local-service-autostart scanned grade A with 1 finding 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 2mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
**Step 1: Detect** — catch the connection error or verify service is offline via a health check (e.g., `curl`, `nc`, or language-specific client library). How it starts
The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Principle: Remediate offline local services programmatically
When an AI agent depends on a local service (Ollama, Docker, PostgreSQL, Redis, etc.) and the service is offline or unreachable, the agent should start the service programmatically and retry the operation. This is operational work (typically one command), not a blocking issue requiring human intervention.
Do not report offline services as blockers or ask the user to start them manually. That violates the agent-as-operator principle: the agent is responsible for keeping operational dependencies running, within scope of already-installed services.
Detection
Common error patterns indicating an offline service:
ConnectionError,Connection refused,Connection timeoutFailed to connect to <service>,Cannot connect to daemonPort <N> is not listening,Service unavailableDaemon not running,Service offlineECONNREFUSED,EHOSTUNREACH,ENETUNREACH
Remediation pattern
Step 1: Detect — catch the connection error or verify service is offline via a health check (e.g., curl, nc, or language-specific client library).
Step 2: Start — invoke the service startup command appropriate to your OS and environment. Examples:
| Service | OS | Startup command | Health check |
|---|---|---|---|
| Ollama | macOS | open /Applications/Ollama.app |
curl -s http://localhost:11434/api/tags |
| Ollama | Linux | systemctl start ollama or ollama serve (foreground) |
curl -s http://localhost:11434/api/tags |
| Ollama | Windows | cmd.exe /c start "" "C:\Program Files\Ollama\ollama app.exe" |
curl -s http://localhost:11434/api/tags |
| Docker Desktop | macOS | open /Applications/Docker.app |
docker version |
| Docker Desktop | Windows | cmd.exe /c start "" "C:\Program Files\Docker\Docker\Docker Desktop.exe" |
docker version |
| PostgreSQL (local) | Linux | systemctl start postgresql or pg_ctl start |
pg_isready -h localhost |
| PostgreSQL (local) | macOS | brew services start postgresql |
pg_isready -h localhost |
| Redis | Linux/macOS | redis-server (foreground) or systemctl start redis |
redis-cli ping |
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.
- 2mo ago First seen · 86 lines · 52 tokens per session scan A 7f031e8cb75d
local-service-autostart is a skill published in the GitHub repository avizmarlon/agent-skills (2 stars, last pushed 4mo ago), licensed MIT. It adds 52 tokens to every session and 1,016 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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