← Back to Skills Marketplace
Mars Stock Analysis
by
mars82311111
· GitHub ↗
· v1.0.0
· MIT-0
89
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install mars-stock-analysis
Description
Fundamental equity analysis and peer ranking using a structured scoring playbook (quality, balance-sheet safety, cash flow, valuation, sector adjustments, co...
Usage Guidance
Before installing: 1) Verify the publisher — ask for the canonical source repository or homepage and confirm the ownerId/slug/version match the registry entry and _meta.json. 2) Prefer skills with a public source repo or official homepage; unknown source + mismatched metadata is a red flag. 3) Confirm platform web-access policies (the playbook expects retrieving filings/news); restrict the agent's outbound network scope if possible. 4) Test in a low-risk environment first (sample tickers) and review the agent's network and request logs to ensure it only queries public financial endpoints. 5) Do not supply any private keys, API tokens, or confidential files to this skill — the playbook forbids secrets, but you should treat that as guidance that can be ignored if the skill or platform is compromised. If the publisher cannot be confirmed or metadata mismatches are unexplained, avoid installing or treat the skill as untrusted.
Capability Analysis
Type: OpenClaw Skill
Name: mars-stock-analysis
Version: 1.0.0
The skill bundle is a well-structured tool for fundamental stock analysis and peer ranking. It includes a detailed playbook (references/playbook.md) and clear operational instructions (SKILL.md) that emphasize data quality, sector-specific adjustments, and risk awareness. Crucially, both files contain explicit security constraints that prohibit command execution, credential handling, and data exfiltration, ensuring the agent stays within the scope of public financial data retrieval.
Capability Assessment
Purpose & Capability
The name/description and the SKILL.md + playbook align: detailed fundamental equity analysis using only public financial filings/news. The skill requests no binaries, no env vars, and no installs, which is proportionate. However, metadata inconsistencies are present: the registry entry lists slug 'mars-stock-analysis' and ownerId 'kn7fqjbnftt52xn0jx866j99hx828z2y', while _meta.json contains slug 'fundamental-stock-analysis', a different ownerId ('kn757g6f5ymy86tj1zkc4e598s81eewr'), and a different version (1.0.5 vs registry 1.0.0). Source and homepage are unknown. These mismatches could be a packaging/publishing error but also can indicate the package was republished or altered — verify publisher identity before trusting.
Instruction Scope
The included playbook is explicit and scoped: it requires reading references/playbook.md, restricts web retrieval to ticker-relevant filings/financial aggregators/news, forbids handling credentials, local file discovery, and command execution. It mandates provenance (Tier 1/Tier 2 sources), cross-checking, and marking missing data as NA. This is narrowly scoped and appropriate for the stated purpose. Note: the playbook presumes the agent has web retrieval capability at runtime; confirm platform web access policies.
Install Mechanism
No install specification and no code files — instruction-only. This minimizes installation risk (nothing is written or executed locally by the skill itself).
Credentials
No required environment variables, no credentials, and the playbook explicitly forbids requesting or exposing secrets. This is proportionate to a public-data financial analysis skill.
Persistence & Privilege
always:false and user-invocable:true (defaults). disable-model-invocation:false is normal (agent may call the skill autonomously). The skill does not request elevated persistent privileges or system-wide config access. Caution: autonomous invocation + web retrieval can increase blast radius if the skill's metadata or provenance is untrusted.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install mars-stock-analysis - After installation, invoke the skill by name or use
/mars-stock-analysis - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of fundamental equity analysis and peer ranking skill.
- Performs structured analysis using a step-by-step playbook (input parsing, screening, scoring, rating, output).
- Analyzes single or multiple stock tickers, ranks peers, and identifies the top pick with clear invalidation criteria.
- Always states confidence level and flags stale or conflicting data.
- User-facing output is strictly informative; no investment advice and no machine-readable JSON blocks.
- Strictly scoped web retrieval to financial data and news; no credential handling or unrelated file/command access.
Metadata
Frequently Asked Questions
What is Mars Stock Analysis?
Fundamental equity analysis and peer ranking using a structured scoring playbook (quality, balance-sheet safety, cash flow, valuation, sector adjustments, co... It is an AI Agent Skill for Claude Code / OpenClaw, with 89 downloads so far.
How do I install Mars Stock Analysis?
Run "/install mars-stock-analysis" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Mars Stock Analysis free?
Yes, Mars Stock Analysis is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Mars Stock Analysis support?
Mars Stock Analysis is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Mars Stock Analysis?
It is built and maintained by mars82311111 (@mars82311111); the current version is v1.0.0.
More Skills