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OpenClaw Orchestrator — Finance & Python Team
by
camilla-oclm
· GitHub ↗
· v1.0.1
· MIT-0
96
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Install in OpenClaw
/install finclaws
Description
Main orchestration skill for a Python/finance app team with full-stack web capability. Routes tasks to sub-agents Simons, Carmen, and Ada. Free mode is on by...
README (SKILL.md)
Orchestration Skill
You are Claw, the orchestrator. Read AGENTS.md for your role, team, and mode state.
This file is the entry point for the skill system.
Reference files (load on demand via read)
| File | Contents |
|---|---|
skills/orchestrate/ref_latency.md |
Instant-path rules, context hygiene — read first |
skills/orchestrate/ref_phases.md |
Four phases: Decompose → Tier → Spawn → Synthesise |
skills/orchestrate/ref_models.md |
Model IDs by tier, free mode table |
skills/orchestrate/ref_roles.md |
Sub-agent roster, spawn templates, workspace rules |
skills/orchestrate/ref_patterns.md |
Orchestration patterns and anti-patterns |
skills/orchestrate/ref_guardrails.md |
Safety, data handling, finance rules |
Decision flow
Incoming message
│
▼
[1] skills/orchestrate/ref_latency.md → instant path? → reply now, STOP
│ no
▼
[2] Read MEMORY.md → find "FREE_MODE:" line
FREE_MODE: true (or absent) → all spawns use openrouter/stepfun/step-3.5-flash:free
FREE_MODE: false → spawns use role defaults in skills/orchestrate/ref_models.md
│
▼
[3] Single-role task, no dependencies?
│ yes → spawn that sub-agent (skills/orchestrate/ref_roles.md), STOP
│ no
▼
[4] Full phases (skills/orchestrate/ref_phases.md)
│
▼
[5] Synthesise and reply
Free mode — always check MEMORY.md
Before any spawn, confirm current mode:
FREE_MODE: true(default) →model: "openrouter/stepfun/step-3.5-flash:free",thinking: "none"FREE_MODE: false→ use role defaults fromskills/orchestrate/ref_models.md
Usage Guidance
Before installing, review the referenced files (AGENTS.md, MEMORY.md, and all skills/orchestrate/ref_*.md) to confirm they are bundled with the skill and do not contain secrets. Ask the publisher where AGENTS.md and MEMORY.md are expected to live (skill-local vs workspace-root). If you allow this skill, restrict it to a sandboxed agent runner, disable any undesired 'FREE_MODE' default (or verify what the free model does and what data it can receive), and avoid supplying any credentials or sensitive environment variables to the agent. If origin is unknown, prefer not to enable autonomous spawning against external models until you can audit the referenced files and confirm behavior.
Capability Analysis
Type: OpenClaw Skill
Name: finclaws
Version: 1.0.1
The skill bundle defines a standard orchestration framework for a multi-agent system (Claw, Simons, Carmen, and Ada). The logic in SKILL.md focuses on task routing and model selection based on a 'FREE_MODE' toggle in a local memory file. No evidence of malicious intent, data exfiltration, or unauthorized command execution was found.
Capability Assessment
Purpose & Capability
The name/description (orchestrator for a Python/finance team) aligns with the SKILL.md: it routes tasks and spawns sub-agents and references role/model tables and guardrails. However, the skill metadata declares no required config paths or credentials while the runtime instructions explicitly require reading AGENTS.md and MEMORY.md (and multiple reference files). That mismatch (declared none vs. expected reads) is an inconsistency.
Instruction Scope
The runtime instructions direct the agent to read AGENTS.md and MEMORY.md and a set of ref files. AGENTS.md and MEMORY.md are not given explicit paths in the metadata; that raises a scope creep risk because those filenames could refer to workspace-level files outside the skill bundle and may contain sensitive info. The instructions also automatically select models based on FREE_MODE, potentially routing spawns to an external provider ('openrouter/stepfun/...:free').
Install Mechanism
No install spec and no code files are present (instruction-only). This minimizes disk-write/install risk — nothing is downloaded or executed beyond the agent following its textual instructions.
Credentials
The skill declares no required env vars or credentials, which is plausible for an instruction-only orchestrator. But it does reference external model IDs (openrouter) and reads memory/config files without declaring them as required config paths. The absence of declared requirements combined with file reads is an incoherence worth noting.
Persistence & Privilege
always is false and autonomous invocation is allowed (platform default). The skill spawns sub-agents and chooses models autonomously; that is expected for an orchestrator but increases blast radius if the referenced files or model-selection rules are manipulated. No persistent installation or modifications to other skills are requested.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install finclaws - After installation, invoke the skill by name or use
/finclaws - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
- Removed 13 documentation and reference files related to agents, system state, and orchestration details.
- Core orchestration functionality and main SKILL.md remain unchanged.
- All supporting docs and role/reference guides (e.g., AGENTS.md, README.md, MEMORY.md) have been deleted.
v1.0.0
**Initial release of the orchestration skill for team-based Python/finance app projects.**
- Introduces "Claw," an orchestration entry point that routes tasks to sub-agents Simons, Carmen, and Ada.
- Implements a decision flow for handling incoming messages, including instant-path checks, mode detection, and multi-phase orchestration.
- Adds "free mode" support, defaulting all agent spawns to use open/free models unless overridden in MEMORY.md.
- Provides modular reference files for latency rules, orchestration phases, sub-agent roles, model usage, patterns, and safety guardrails.
- Designed for extensibility, supporting both single-role and complex multi-phase task orchestration.
Metadata
Frequently Asked Questions
What is OpenClaw Orchestrator — Finance & Python Team?
Main orchestration skill for a Python/finance app team with full-stack web capability. Routes tasks to sub-agents Simons, Carmen, and Ada. Free mode is on by... It is an AI Agent Skill for Claude Code / OpenClaw, with 96 downloads so far.
How do I install OpenClaw Orchestrator — Finance & Python Team?
Run "/install finclaws" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is OpenClaw Orchestrator — Finance & Python Team free?
Yes, OpenClaw Orchestrator — Finance & Python Team is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does OpenClaw Orchestrator — Finance & Python Team support?
OpenClaw Orchestrator — Finance & Python Team is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created OpenClaw Orchestrator — Finance & Python Team?
It is built and maintained by camilla-oclm (@camilla-oclm); the current version is v1.0.1.
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