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 install-verificationgit 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/install-verification)<a href="https://agentmods.dev/skills/agentlas-ai/agentlas-os/install-verification"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-os/install-verification/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/install-verification"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-os/install-verification.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 | $0.00027 | $0.00185 |
| Opus 5.5 | $0.00011 | $0.00074 |
| Sonnet 5.5 | $0.00005 | $0.00037 |
| Haiku 4.5 | $0.00003 | $0.00018 |
Grade A, and why
install-verification scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 18d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Install Verification
Resolve ENGINE using /hep-build Step 0 and set PACKAGE_ROOT to the
generated agent repository. Run:
bash "$ENGINE/scripts/verify-generated-package.sh" "$PACKAGE_ROOT"
bash "$ENGINE/scripts/verify-team-package.sh" "$PACKAGE_ROOT"
(cd "$PACKAGE_ROOT" && bash "$ENGINE/scripts/public_safety_check.sh")
Then inspect the generated package's selected adapters and install files:
- root
AGENTS.md,CLAUDE.md,GEMINI.md; .agents/;.agentlas/;.claude/;codex/;scripts/install.sh.
Do not claim completion if any required file is 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.
- 18d ago Changed · +2 lines c7a85ed8fb2d
- 1mo ago First seen · 25 lines · 27 tokens per session scan A 5a2fd2a9aabc
install-verification is a skill published in the GitHub repository agentlas-ai/Agentlas-OS (1,613 stars, last pushed yesterday), licensed Apache-2.0. It adds 27 tokens to every session and 185 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.
Other skills, from other repositories
benchmark-design
Design and calibrate a multi-Case capability Benchmark and establish a traceable Formal Baseline, or import a published Benchmark package.
agent-evaluation
Run one specified Test Agent on one specified Benchmark Case exactly once, privately score that execution, and return one protocol result.
agent-optimization
Improve an Agent State through versioned scores and score-linked Traces from a frozen Benchmark.
verify-changes
Verify code changes by running the project's typecheck, build, lint, and targeted tests, then fix and re-run until clean. Use after editing any source file.
Skill: Verify skill
Skill for opinionated verification workflow for validating code changes.
scenario-design
Draft real-life test SCENARIOS (not smoke tests) from a change/feature spec. Derives edge-case, performance, frontend-quirk and error-handling scenarios with ISTQB techniques, routes each to a test level, and writes test-plan.md, emitting clarification questions on a spec gap. Use on "design test scenarios", "what…