Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add claude-office-skills/claude-office-plugin --skill equity-valuation-framework-1.0.3git clone --depth 1 https://github.com/claude-office-skills/claude-office-pluginWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/claude-office-skills/claude-office-plugin/equity-valuation-framework-1.0.3)<a href="https://agentmods.dev/skills/claude-office-skills/claude-office-plugin/equity-valuation-framework-1.0.3"><img src="https://agentmods.dev/badge/skills/claude-office-skills/claude-office-plugin/equity-valuation-framework-1.0.3/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/claude-office-skills/claude-office-plugin/equity-valuation-framework-1.0.3"><img src="https://agentmods.dev/badge/skills/claude-office-skills/claude-office-plugin/equity-valuation-framework-1.0.3.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00052 | $0.01925 |
| Opus 5 | $0.00026 | $0.00962 |
| Sonnet 5 | $0.00010 | $0.00385 |
| Haiku 4.5 | $0.00005 | $0.00193 |
Grade A, and why
equity-valuation-framework scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 236 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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-expertfor company/price/ratio inputsnso-macro-monitor,us-macro-news-monitor,vn-market-news-monitorfor 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):
{
"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)
- Validate input bundle completeness and freshness.
- Run the data quality gate and assign initial confidence.
- Select valuation modules based on available data (
Multiples,DCF, sector adaptation). - Build bull/base/bear scenarios with explicit assumptions.
- Triangulate fair value, define safety zone, and list key risks.
- Apply confidence rubric and disclose gaps that can change conclusions.
- Return the report using the required section order.
Data quality gate (must run first)
- Check freshness: state report periods and price cutoff date.
- Check completeness: identify missing key lines (revenue, EBIT, net income, CFO, debt, equity, shares).
- Check consistency: basic identity checks (assets = liabilities + equity if available).
- Mark confidence tier:
High: complete + recent + internally consistent.Medium: minor gaps, valuation still usable.Low: major gaps; only directional view allowed.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 236 lines · 52 tokens per session scan A 6c86e2e8affb
equity-valuation-framework is a skill published in the GitHub repository claude-office-skills/claude-office-plugin (9 stars, last pushed 5mo ago), licensed MIT. It adds 52 tokens to every session and 1,925 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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