Agentlas OS is a local-first system for creating, storing, borrowing, and running specialist AI agents and temporary agent teams through supported hosts and models. It serves people who want reusable agents that remain available across computers and model workspaces, and the catalogue contains its skills, commands, hooks, agents, instructions, plugin, and rule.
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 agentlas-ai/Agentlas-OS --skill agentlas-auto-activationgit clone --depth 1 https://github.com/agentlas-ai/Agentlas-OSWrote 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/agentlas-ai/agentlas-os/agentlas-auto-activation)<a href="https://agentmods.dev/skills/agentlas-ai/agentlas-os/agentlas-auto-activation"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-os/agentlas-auto-activation/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/agentlas-ai/agentlas-os/agentlas-auto-activation"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-os/agentlas-auto-activation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00034 | $0.00500 |
| Opus 5 | $0.00017 | $0.00250 |
| Sonnet 5 | $0.00007 | $0.00100 |
| Haiku 4.5 | $0.00003 | $0.00050 |
Grade A, and why
agentlas-auto-activation 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 9d 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 — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agentlas Auto-Activation
Use this skill when a local runtime should activate Agentlas project continuity for a folder.
Procedure
- For explicit activation, call
hephaestus project ensure --project <folder>from Agentlas Core. - For automatic activation, require a trusted writable host, an allowed root, a workspace marker, and host-side opt-in. Passive search, read-only work, and MCP requests do not imply write consent.
- Never create project state in the user's home directory, filesystem root, or outside the host's allowed project roots.
- Install the managed privacy
.gitignoreblock before local memory/indexes. - Add missing seed files, ontology/career indexes, and the bounded code map without overwriting existing user content.
- Inject relevant project memory into future agent prompts.
- Ask workers to emit
## Memory Eventsonly for durable facts. - Route Memory Events through Memory Tickets and Memory Curator.
- Use sitemap/task-bias state to avoid stale or unvalidated surfaces.
Minimum Files
.agentlas/project-soul-memory.md.agentlas/sitemap.json.agentlas/memory-map.json.agentlas/memory-tickets.jsonl.agentlas/vault-references.json.agentlas/skill-registry.json.agentlas/skill-trials.jsonl.agentlas/curator-decisions.jsonl.agentlas/activation.json.agentlas/code-map/project-map.json.agentlas/ontology-runtime.json.agentlas/ontology-runtime.sqlite.agentlas/career-graph.json.agentlas/career-graph.sqlite
Safety
Never store secrets, raw logs, full transcripts, cookies, private keys, service
accounts, or payment material in .agentlas.
Keep MCP auto-bootstrap disabled unless the host separately opts in. Automatic receipts must not expose absolute project paths or raw filesystem errors.
If private files were already tracked before activation, report them as
trackedSensitivePaths; never mutate the user's Git index automatically.
Reference
See docs/agentlas-auto-activation.md.
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.
- 9d ago First seen · 59 lines · 34 tokens per session scan A b942bd69594c
agentlas-auto-activation is a skill published in the GitHub repository agentlas-ai/Agentlas-OS (1,105 stars, last pushed 3d ago), licensed Apache-2.0. It adds 34 tokens to every session and 500 once invoked, about $0.0002 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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