value-investing-research
Use this skill whenever the user asks about public-stock or listed-company investment analysis, intrinsic value, margin of safety, valuation model selection…
Skill by qitongwproj
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/qitongwproj-value-investing-research
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: data, research, finance
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/value-investing-research
What's inside
- Skill name
value-investing-research- Description
- Use this skill whenever the user asks about public-stock or listed-company investment analysis, intrinsic value, margin of safety, valuation model selection, reverse DCF, implied market expectations, data freshness, source checks, orphan numbers, data provenance, earnings reviews, thesis updates, relevant company/industry news, risk reviews, or buy/add/hold/trim/sell price zones. It routes company type, gathers public data when possible, runs executable valuation models, audits assumptions and sources, and produces decision-oriented value-investing reports.
- License
- unknown
- Instructions
- 209 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Agent Skills spec issues
- name: "value-investing-research" does not match folder "value-investing-skill"
Files (178)
- plugin.json · .codex-plugin/
- .gitignore
- .gitmodules
- .skillignore
- INSTALL.md
- README.md
- SKILL.md
- openai.yaml · agents/
- action-plan.md · commands/
- audit-gates.md · commands/
- classification.md · commands/
- compact.md · commands/
- company-type-coverage.md · commands/
- conformance-check.md · commands/
- context-plan.md · commands/
- earnings-digest.md · commands/
- earnings-preview.md · commands/
- freshness-check.md · commands/
- mindmap.md · commands/
- moat.md · commands/
- output-contract.md · commands/
- philosophy-gate.md · commands/
- pyramid-summary.md · commands/
- quick-check.md · commands/
- render-report.md · commands/
- research.md · commands/
- reverse-dcf-required.md · commands/
- reverse-dcf.md · commands/
- risk.md · commands/
- screen.md · commands/
- shareholder-return.md · commands/
- source-check.md · commands/
- technology-optionality.md · commands/
- thesis-update.md · commands/
- token-efficient-analysis.md · commands/
- valuation.md · commands/
- workflow-router.md · commands/
- openbb_providers.template.json · config/
- evals.json · evals/
- trigger_eval_set.json · evals/
- aapl_quality_compounder.md · examples/
- biotech_rnpv_sample.md · examples/
- README.md · examples/golden_cases/
- expected_required_gates.json · examples/golden_cases/bank_residual_income/
- expected_required_gates.json · examples/golden_cases/tsla_high_optionality/
- jpm_bank.md · examples/
- sample_data_lineage_tsla.json · examples/
- plugin.json
- investor_action_framework.md · references/action_policy/
- context_manifest.md · references/context_policy/
- progressive_disclosure_rules.md · references/context_policy/
- token_budget_policy.md · references/context_policy/
- investment_philosophy_layer.md · references/core/
- investment_quality_gate.md · references/core/
- modular_workflow_architecture.md · references/core/
- data_freshness_policy.md · references/data_source_policy/
- data_provenance_policy.md · references/data_source_policy/
- data_source_policy.md · references/data_source_policy/
- institutional_view_policy.md · references/data_source_policy/
- execution_gate_policy.md · references/execution_policy/
- …and 118 more
The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub
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Use this skill to test whether value-investing reports follow required workflow, schema, output, data, and execution-gate rules.
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Use this skill to keep value-investing research runs token-efficient through routing, progressive disclosure, and context packet selection.
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Use this skill to estimate conservative downside value from asset recoveries, liabilities, liquidation costs, and net cash.
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mindmap-summary
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Use this skill to compress a completed investment analysis into a mind-map-friendly summary.
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bull-bear-debate
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Use this skill to generate a bull case, bear case, and risk committee review for an investment thesis.
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data-ingestion
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Use this skill to fetch, normalize, validate, and confidence-score public or user-provided investment data.
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epv-analysis
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Use this skill to estimate earnings power value, no-growth value, and franchise value for stable businesses.
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execution-gate-auditor
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Use this skill to verify that selected valuation, freshness, provenance, risk, and output modules were actually executed or explicitly blocked.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit
- May 17, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- License unknown
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from qitongwproj
- 0.469score
capital-allocation-analysis
qitongwproj
Use this skill to evaluate capital allocation quality, including reinvestment, M&A, buybacks, dividends, leverage, and ROIC discipline.
SkillCFreshness: CClaude Code +9 - 0.469score
catalyst-analysis
qitongwproj
Use this skill to identify catalysts that may close the gap between price and intrinsic value.
SkillCFreshness: CClaude Code +9 - 0.469score
comps-analysis
qitongwproj
Use this skill to run peer multiple analysis with quality, growth, leverage, and margin adjustments.
SkillCFreshness: CClaude Code +9 - 0.469score
conformance-tester
qitongwproj
Use this skill to test whether value-investing reports follow required workflow, schema, output, data, and execution-gate rules.
SkillCFreshness: CClaude Code +9 - 0.469score
context-budget-manager
qitongwproj
Use this skill to keep value-investing research runs token-efficient through routing, progressive disclosure, and context packet selection.
SkillCFreshness: CClaude Code +9 - 0.469score
bull-bear-debate
qitongwproj
Use this skill to generate a bull case, bear case, and risk committee review for an investment thesis.
SkillCFreshness: CClaude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
value-investing-research skill. Agent Mart. https://agentmart.dev/skills/qitongwproj-value-investing-research (last updated 2026-10-24)