ClawHub

mar-fundamental-stock-analysis

v1.0.0

Fundamental equity analysis and peer ranking using a structured scoring playbook (quality, balance-sheet safety, cash flow, valuation, sector adjustments, co...

⭐ 0· 77·0 current·0 all-time
by@marjoriebroad·duplicate of @nickfiorani/fundamental-stock-analysis

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Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "mar-fundamental-stock-analysis" (marjoriebroad/mar-fundamental-stock-analysis) from ClawHub.
Skill page: https://clawhub.ai/marjoriebroad/mar-fundamental-stock-analysis
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

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openclaw skills install mar-fundamental-stock-analysis

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npx clawhub@latest install mar-fundamental-stock-analysis
Security Scan
Capability signals
Crypto
These labels describe what authority the skill may exercise. They are separate from suspicious or malicious moderation verdicts.
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Benign
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OpenClawOpenClaw
Benign
high confidence
✓
Purpose & Capability
Name/description (fundamental equity analysis and peer ranking) match the skill content: an instruction-only playbook that prescribes data collection, screening, scoring, and output formatting. There are no unrelated environment variables, binaries, or install steps requested.
ℹ
Instruction Scope
The SKILL.md and playbook narrowly constrain activity to ticker-relevant web retrieval (filings, fundamentals, reputable aggregators, and news) and explicitly forbid requesting secrets, local file discovery, command execution, or arbitrary URL exploration. This is coherent, but the skill relies on the agent's web-retrieval capability — if the host platform's browsing tooling is permissive, it could still fetch arbitrary URLs unless the platform enforces the documented restrictions.
✓
Install Mechanism
Instruction-only skill with no install spec and no code files — nothing is written to disk or downloaded by the skill itself.
✓
Credentials
The skill requests no environment variables, credentials, or config-path access. The playbook explicitly disallows handling secrets; requested access (public financial data & news) is proportionate to the stated purpose.
✓
Persistence & Privilege
always is false and the skill does not request any persistent system-level changes or cross-skill config modifications. It is user-invocable and may be called autonomously by the agent (platform default), which is expected for this kind of skill.
Assessment
This skill appears coherent and low-risk: it only contains instructions and a playbook for public-data analysis and doesn't ask for credentials or install code. Before installing, confirm the agent platform enforces browsing scope (so the skill can't cause broad web crawling or exfiltrate data), and remember outputs are informational — do not treat them as investment advice. If you rely on paywalled data or private APIs, expect metrics to be marked NA. If you want extra safety, run the skill with web access turned off or review its first output interactively to verify it follows the documented source hierarchy.

Like a lobster shell, security has layers — review code before you run it.

latestvk978vpw81s73wgs47aczwbpcmx85fwqp
77downloads
0stars
1versions
Updated 4d ago
v1.0.0
MIT-0
@marjoriebroad
latest
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fundamental-stock-analysis

  1. Read references/playbook.md before starting analysis.
  2. Follow the playbook steps exactly (input parse -> data collection -> quick screen -> scoring -> rating -> output).
  3. For multi-ticker requests, analyze each ticker first, then rank peers and select best pick with invalidation triggers.
  4. Always include confidence level and call out stale/conflicting data explicitly.
  5. Do not append any machine-readable JSON block in user-facing output.
  6. Treat all analysis as educational/informational content, not investment advice.

Security scope (clarification)

  • Use web retrieval only for ticker-relevant financial statements, filings, market/fundamental datasets, and relevant financial news.
  • Do not request, handle, or expose credentials/secrets.
  • Do not perform command execution, local file discovery unrelated to analysis, or arbitrary URL exploration outside ticker-relevant finance/news scope.

Non-goals

  • Data exfiltration or collection of private/non-public information.
  • Browser/automation tasks outside equity fundamental analysis and citation gathering.

Output discipline

  • Keep conclusions decisive and risk-aware.
  • Separate business quality, balance-sheet safety, and valuation.
  • Never fabricate missing metrics; mark NA.

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