What makes Equity Valuation Framework notable?

2.9K downloads. Trust evidence available

How should Equity Valuation Framework be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

Claim this agent

agentCLAWHUBUnverified

Equity Valuation Framework

Provides a decision-grade equity valuation playbook and report standard (multiples, DCF, quality assessment, scenarios, margin of safety); used when users re... Skill: Equity Valuation Framework Owner: teahann Summary: Provides a decision-grade equity valuation playbook and report standard (multiples, DCF, quality assessment, scenarios, margin of safety); used when users re... Tags: latest:1.0.4 Version history: v1.0.4 | 2026-05-22T00:21:16.804Z | user Update Vietnam institutional stock skill system with D1 governance, trade decision policy, and harness agent guide. v1.0.3 |

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

2.9k

Updated

Oct 9, 2026

Version

1.0.4

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 2.9K downloads reported by the source. Last updated 10/9/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 9, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 9, 2026
Adoption signal: 2.9K downloadsadoption · observed Oct 9, 2026
Latest release: 1.0.4release · observed May 22, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s172d4r9d0h6bvvd3mpq517yrn861np5:equity-valuation-framework

Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-teahann-equity-valuation-framework/snapshot"

Documentation

CLAWHUB

48,184 characters of source documentation, loaded on request.

Extracted files

4 files captured from the source.

SKILL.md

---
name: equity-valuation-framework
description: Provides a decision-grade equity valuation playbook and report standard (multiples, DCF, quality assessment, scenarios, margin of safety); used when users request valuation, best-stock comparison, investment thesis explanation, or structured risk review.
compatibility: Requires structured market and financial inputs (typically from vnstock workflows); no direct data fetching in this skill.
metadata: {"openclaw":{"emoji":"🧮"}}
---

# Equity Valuation Framework

Use this skill as the "rules of the game" for valuation decisions and report standardization.

## Scope and role
- Purpose: transform already-fetched data into a professional valuation view.
- This skill does **not** fetch data.
- Upstream data should come from:
  - `vnstock-free-expert` for company/price/ratio inputs
  - `nso-macro-monitor`, `us-macro-news-monitor`, `vn-market-news-monitor` for macro/news context

## When to trigger
- User asks: "value this stock", "is it cheap/expensive", "best stock between A/B/C", "give me bull/base/bear", "build an investment memo".
- User requests a decision-ready report, not only raw metrics.

## Required input contract
Accept an input bundle with these sections (missing fields allowed, but must be flagged):

```json
{
  "ticker": "HPG",
  "as_of_date": "YYYY-MM-DD",
  "currency": "VND",
  "financials": {
    "income_statement": {},
    "balance_sheet": {},
    "cash_flow": {},
    "ratios": {}
  },
  "price_history": {
    "daily": [],
    "returns": {
      "1m": null,
      "3m": null,
      "6m": null,
      "12m": null
    }
  },
  "peer_set": ["AAA", "BBB"],
  "macro_snapshot": {},
  "news_digest": {},
  "metadata": {
    "source": "kbs|vci",
    "data_quality_notes": []
  }
}
```

## Execution workflow (ordered)
1. Validate input bundle completeness and freshness.
2. Run the data quality gate and assign initial confidence.
3. Select valuation modules based on available data (`Multiples`, `DCF`, sector adaptation).
4. Build bull/base/bear scenarios with explicit assumptions.
5. Triangulate fair value, define safety zone, and list key risks.
6. Apply confidence rubric and disclose gaps that can change conclusions.
7. Return the report using the required section order.

## Data quality gate (must run first)
1. Check freshness: state report periods and price cutoff date.
2. Check completeness: identify missing key lines (revenue, EBIT, net income, CFO, debt, equity, shares).
3. Check consistency: basic identity checks (assets = liabilities + equity if available).
4. Mark confidence tier:
- `High`: complete + recent + internally consistent.
- `Medium`: minor gaps, valuation still usable.
- `Low`: major gaps; only directional view allowed.

## Shared confidence rubric (required)
Use this standardized interpretation:
- `High`: valuation triangulation is valid (>= 2 robust methods), assumptions are explicit, and key inputs are complete.
- `Medium`: only one robust method is usable or moderate gaps req

_meta.json

{
  "ownerId": "kn7aqz9b9xv2mmyvsg54n5kecn81kkaf",
  "slug": "equity-valuation-framework",
  "version": "1.0.4",
  "publishedAt": 1779409276804
}

skill-card.md

## Description:

Provides a decision-grade equity valuation playbook and report standard for multiples, DCF, quality assessment, scenarios, and margin-of-safety analysis when users request valuation, stock comparison, investment thesis explanation, or structured risk review.

This skill is ready for commercial/non-commercial use.

## Publisher:

[teahann](https://clawhub.ai/user/teahann)

### License/Terms of Use:

MIT-0

## Use Case:

External users, analysts, and developers use this skill to turn structured equity, market, peer, macro, and news inputs into a professional valuation memo with multiples, DCF scenarios, sensitivity tables, risk register, fair-value range, and margin-of-safety framing.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Users may mistake valuation output for personalized investment advice or an order to trade.

Mitigation: Keep outputs educational, avoid absolute buy or sell commands, include the skill's disclaimer, and frame conclusions as conditional valuation views.

Risk: Stale, incomplete, or inconsistent financial and market inputs can produce misleading fair-value ranges.

Mitigation: Require freshness, completeness, and consistency checks before valuation; disclose missing inputs and downgrade confidence when data quality is weak.

Risk: DCF and multiples assumptions can create false precision when cash-flow visibility or peer comparability is limited.

Mitigation: Use scenario ranges, sensitivity tables, explicit assumptions, and directional conclusions when robust triangulation is unavailable.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/teahann/skills/equity-valuation-framework)

## Skill Output:

**Output Type(s):** [text, markdown, guidance]

**Output Format:** [Structured Markdown valuation report with tables, scenarios, risk register, fair-value range, and disclaimer]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Requires current structured financial, price, peer, macro, and news inputs; does not fetch data directly.]

## Skill Version(s):

1.0.4 (source: server release metadata)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

agents/openai.yaml

display_name: Equity Valuation Framework 
short_description: Structured valuation playbook and decision-grade investment memo standard.
default_prompt: Build a professional equity valuation report with scenarios, sensitivity, risk register, and margin-of-safety zone using available financial and market inputs.

Github ReposUpdated 0h agoRank 70

AionUi

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

MCPOPENCLAW

Github ReposUpdated 6mo agoRank 70

activepieces

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

OPENCLAW

Github ReposUpdated 6mo agoRank 70

cherry-studio

AI productivity studio with smart chat, autonomous agents, and 300+ assistants.