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agentlas-ai/llm-runtime-architecture

NewSkillScoreMaintained

Use when designing how one canonical agent core runs across Codex, Claude Code, Gemini CLI, Cursor, and AGENTS.md-compatible tools.

agent-toolingby agentlas-ai

Links this skill to your agents and keeps it current with the author’s updates.

Automatic

AI Engineer pack

decimalai skills pull agentlas-ai-llm-runtime-architecture

Get this skill — curl · raw file

curl -fsSL https://app.decimal.ai/s/agentlas-ai-llm-runtime-architecture/SKILL.md

Raw file: /s/agentlas-ai-llm-runtime-architecture/SKILL.md ↗ · machine-readable summary at /s/agentlas-ai-llm-runtime-architecture.json ↗

In productionGlobal

how this skill behaves on real traffic · last 30 days

No production data for this skill yet — usage numbers appear here once agents start running it.

Anonymized aggregate across every org using this skill — proof from real production use, not a demo.

Does this skill help? · Benchmark: with vs. withoutsign in to run this on your agents

25 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 2h ago

Yes — +44% lift-35% tokens0% turns88% of whole cases pass with skill (22/25)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-01	✗→✓	▲ Improved	-22%	0%
case-03	✗→✓	▲ Improved	-24%	0%
case-07	✗→✓	▲ Improved	-36%	0%
case-09	✗→✓	▲ Improved	-38%	0%
case-13	✗→✓	▲ Improved	-27%	0%

Showing 5 of 25 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

agentlas-ai / agentlas-os

skills/llm-runtime-architecture/SKILL.md

View on GitHub ↗

License Apache-2.0Imported 8/3/2026Version v1

Skill contents

SKILL.md

LLM Runtime Architecture

Procedure

Keep AGENTS.md as the canonical behavior contract.
For each runtime, name entry point, global command, adapter files, available

tools, memory access, limitations, and verification command.

Keep adapters thin and point them back to the canonical core.
Write or repair .agentlas/global-commands.json when creating or packaging

an agent.

State unsupported capabilities explicitly.

Output

Return a runtime matrix with runtime, entry_point, global_command, adapter_files, memory_access, limitations, and verification.

Want to see if agentlas-ai/llm-runtime-architecture would activate on your phrasing? Try it before you install — no LLM call, no signup.

Other measured skills in the registry, with their headline benchmark lift.