agentic-workflow-os
llms.txt0 starsChanged 16 days agoMITView on GitHub
Built by Longwave AI Lab (longwave-ai-lab). Deterministic 2-Tier Open-Core AI Engineering System ($0+ MIT Starter / $19 Commercial Pro Bundle) for Google Antigravity (GEMINI.md), Cursor IDE (.cursor/rules/*.mdc), Claude Code (CLAUDE.md & SKILL.md), and ChatGPT Projects.
- Deletes or force-pushes
In this repository4 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- .cursor/rules/01-boost-context-bloat-optimizer.mdcCursor rule
- boost-context-bloat-optimizerSkill
- boost-context-bloat-optimizerSkill
The file
We split this llms.txt into the rules it gives an agent
2 rules. About 0 are common, 0 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 28
Verify package & linter AST: node ./bin/cli.mjs --check
- Very specific: line 29
Run deterministic verification: node scripts/lint_boost_context_optimizer.mjs
≈ “Common” is an estimate: at least 1 in 5 of the 3,592 llms.txt files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
# Agentic Workflow OS > Built by Longwave AI Lab (`longwave-ai-lab`). Deterministic 2-Tier Open-Core AI Engineering System ($0+ MIT Starter / $19 Commercial Pro Bundle) for Google Antigravity (`GEMINI.md`), Cursor IDE (`.cursor/rules/*.mdc`), Claude Code (`CLAUDE.md` & `SKILL.md`), and ChatGPT Projects. ## Core Architecture Modules & Standalone Node.js Linters (`exit code 1`) - [Module 01: 01-boost-context-bloat-optimizer](rules/01-boost-context-bloat-optimizer.md): Enforces `/boost` context-window hygiene (`<= 200` line root constitutions `CLAUDE.md`/`GEMINI.md`, 3-tier lazy-loaded `.mdc` and `SKILL.md` sharding, subagent search offloading, and `.boost-context-budget.json`). Enforced by `scripts/lint_boost_context_optimizer.mjs`. - [Module 02: 02-teamwork-preview-staging-sandbox](rules/02-teamwork-preview-staging-sandbox.md): Enforces `/teamwork-preview` multi-agent worktree isolation (`allowedPaths[]`, `rollbackCommitSha`, 4-part Staging Diff Preview Cards, and read-only challenger pass). Enforced by `scripts/lint_teamwork_preview_sandbox.mjs`. - [Module 03: 03-goal-anti-reward-hacking-gate](rules/03-goal-anti-reward-hacking-gate.md): Enforces `/goal` binary `exit code 0` completion contracts (`.goal-contract.json`), blocks `@ts-ignore`, `@ts-expect-error`, `it.skip`, `eslint-disable`, `|| true`, and fake judge fallback scores (`?? 0.92`), and caps repair loops at 3 iterations. Enforced by `scripts/lint_goal_anti_reward_hacking.mjs`. - [Module 04: 04-immutable-hook-and-anti-tamper-lock](rules/04-immutable-hook-and-anti-tamper-lock.md): Enforces immutable SHA-256 harness locks (`.harness-lock.json`), `PreToolUse` destructive command firewalls (`rm -rf`, `git reset --hard`, `--no-verify`), and `[WHITE-FLAG ESCALATION]`. Enforced by `scripts/lint_immutable_hook_lock.mjs`. ## 4-Layer Verification Gate, 2x2 Adversarial Matrix & Multi-Turn 3-Lock Reflex - **4-Layer Gate**: Separates Layer 1 deterministic `HARD` checks (`< 2s`, AST and closed schema `z.strictObject` passing on a clean Canary sample) from `CONTEXTUAL` signals and Layer 2 `SEMANTIC` fail-closed arbitration (`PASS`, `HARD_FAIL`, `GREY_ZONE_WHITE_FLAG`, `UNDETERMINED` vs `SUCCESS`, `NOT_RUN`, `TOOL_ERROR`). - **2x2 Adversarial Matrix**: Validates every 2-layer gate across all 4 cells (Clean Baseline `PASS`, Layer 1 Invariant Breach `L1 HARD_FAIL`, Evasive Slop `L1 Clean + L2 HARD_FAIL`, Contextual Rescue `L1 Warning + L2 PASS`). - **Multi-Turn 3-Lock Reflex**: Enforces Lock 1 (`Scope Lock & Closed Schema Allowlist`), Lock 2 (`4-Layer Parameterization & Slice-Scoped Assertion`), and Lock 3 (`Direct Execution & Single Final Build`). ## Deep-Dive Technical Monographs (GEO Indexed) - [01-context-bloat-and-kv-cache-dilution-mechanics.md](docs/01-context-bloat-and-kv-cache-dilution-mechanics.md): Full bilingual English and Vietnamese architectural monograph. - [02-subagent-worktree-isolation-and-staging-diff-sandboxes.md](docs/02-subagent-worktree-isolation-and-staging-diff-sandboxes.md): Full bilingual English and Vietnamese architectural monograph. - [03-deterministic-goal-gates-and-anti-reward-hacking-hooks.md](docs/03-deterministic-goal-gates-and-anti-reward-hacking-hooks.md): Full bilingual English and Vietnamese architectural monograph. - [04-golden-repo-clusters-blueprint.md](docs/04-golden-repo-clusters-blueprint.md): Full bilingual English and Vietnamese architectural monograph. ## Quickstart & Verification CLI - Install via npx: `npx @longwave-ai-lab/agentic-workflow-os init .` - Verify package & linter AST: `node ./bin/cli.mjs --check` - Run deterministic verification: `node scripts/lint_boost_context_optimizer.mjs` - Quickstart Guide: [QUICKSTART-30S.md](QUICKSTART-30S.md)
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

