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 agentmods add agents/sbhooley/ainativelang/openclaw-quickstartgit clone --depth 1 https://github.com/sbhooley/ainativelangWhat 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 | $0.00000 | $0.02393 |
| Opus 5 | $0.00000 | $0.01196 |
| Sonnet 5 | $0.00000 | $0.00479 |
| Haiku 4.5 | $0.00000 | $0.00239 |
Grade A, and why
openclaw-quickstart 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 yesterday.
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 — 245 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Agent Quickstart: Integrating AINL with OpenClaw
This guide gets you from zero to generating OpenClaw automations in AINL within one session.
Before implementation work: Follow docs/BOT_ONBOARDING.md and complete the implementation preflight in docs/OPENCLAW_IMPLEMENTATION_PREFLIGHT.md (inspect files, confirm not duplicate, verify adapter semantics, emit required output structure). Machine-readable pointers: tooling/bot_bootstrap.json.
OpenClaw operator path (≈5 minutes)
Use ainl install openclaw, then ainl status / ainl doctor --ainl. The Weekly budget remaining line may reflect weekly_remaining_tokens from memory_records (workflow / budget.aggregate / weekly_remaining_v1) when the legacy weekly_remaining_v1 SQLite table has no non-null row — see openclaw-operator.md and ../operations/OPENCLAW_AINL_GOLD_STANDARD.md (Weekly Token Trends).
1. Environment Setup (One-Time)
# Clone and install
cd /Users/clawdbot/.openclaw/workspace/AI_Native_Lang
python -m pip install -e ".[dev,web]"
# Verify installation
ainl-validate --version
ainl-tool-api --help
# Run core tests
.venv/bin/python scripts/run_test_profiles.py --profile core
If tests pass, you're ready.
2. Understand the AINL Landscape (15 min)
Read in order:
docs/BOT_ONBOARDING.md— bot entrypoint; points to preflight (required before implementation)README.md— project overviewdocs/DOCS_INDEX.md— map to all docsdocs/AINL_SPEC.md(sections 0-3 only) — core syntax and execution modelexamples/openclaw/daily_digest.lang— a monitor workflow exampleagent_reports/AI_CONSULTANT_REPORT_APOLLO.md— OpenClaw integration strategyagent_reports/README.md— indexed field reports from agents running AINL in production (continuity narratives)docs/INTELLIGENCE_PROGRAMS.md—intelligence/*.langmonitors +scripts/run_intelligence.pyrunnerdocs/OPENCLAW_IMPLEMENTATION_PREFLIGHT.md— required before coding (steps + output structure)docs/ainl_openclaw_unified_integration.md— unified integration (current v1.8.0; includes v1.3.0/v1.2.8): token-aware startup, bridge, cron, and gold-standard deployment
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.
- yesterday First seen · 245 lines · 0 tokens per session scan A 9d1fe166630a
openclaw-quickstart is an agent published in the GitHub repository sbhooley/ainativelang (674 stars, last pushed 2mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 2,393 tokens. 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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