Borrowing it
Nothing to install: this file belongs to lowtidebuild/public-equity-research. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/lowtidebuild/public-equity-research/main/.claude/skills/query-interpreter/SKILL.mdgit clone --depth 1 https://github.com/lowtidebuild/public-equity-researchWrote 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/lowtidebuild/public-equity-research/query-interpreter)<a href="https://agentmods.dev/skills/lowtidebuild/public-equity-research/query-interpreter"><img src="https://agentmods.dev/badge/skills/lowtidebuild/public-equity-research/query-interpreter/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/lowtidebuild/public-equity-research/query-interpreter"><img src="https://agentmods.dev/badge/skills/lowtidebuild/public-equity-research/query-interpreter.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 | $0.00000 | $0.02229 |
| Opus 5 | $0.00000 | $0.01115 |
| Sonnet 5 | $0.00000 | $0.00446 |
| Haiku 4.5 | $0.00000 | $0.00223 |
Grade A, and why
query-interpreter 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 9d 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 — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Query Interpreter — SKILL.md
Role: Step 1 — Parse the user's query to extract ticker(s), determine output mode, detect language, and validate intent.
Triggered by: CLAUDE.md after Step 0 determines fresh collection needed
Reads: User query, references/ticker-resolution-guide.md
Writes: Sets session variables: ticker, market, output_mode, output_language, peers (if multi-ticker)
References: ticker-resolution-guide.md
Instructions
Step 1.1 — Detect Analysis Intent
First, determine if this is an analysis request or a price-only query (not supported).
Price-only queries (not supported — respond with guidance):
- "X 지금 얼마야?" / "X current price?" / "What is X trading at?"
- "X 시총이 얼마야?" / "X market cap?"
- "X 52주 최고가?" / "X 52-week high?"
- Any query asking for a single data point without analysis context
IF price-only query detected:
→ Respond: "가격 조회는 지원하지 않습니다. Yahoo Finance / Perplexity에서 확인하시거나,
'{ticker} 분석해줘'로 심층 분석을 요청하세요."
→ Do not proceed further
Analysis triggers (full analysis — proceed with workflow):
- "X 분석해줘" / "Analyze X"
- "X 어때?" / "What do you think about X?"
- "X 투자할 만해?" / "Is X worth investing in?"
- Any query implying an investment recommendation or thesis
Step 1.2 — Detect Multi-Ticker Query
Check for comparison/peer analysis indicators:
Multi-ticker triggers: vs, versus, 비교, and, compare, 대, 와, comma-separated tickers
Examples:
- "AAPL vs MSFT" → 2 tickers, Workflow 2
- "AAPL, MSFT, GOOGL 비교" → 3 tickers, Workflow 2
- "삼성전자 vs SK하이닉스" → 2 Korean tickers, Workflow 2
IF multi-ticker:
→ Set workflow = 2
→ Extract all tickers (deduplicated, max 5)
→ Set output_mode = "B" (default for Workflow 2) unless user specifies differently
Step 1.3 — Ticker Resolution
US tickers (1–5 uppercase letters):
- Direct: AAPL, MSFT, NVDA, TSLA
- Case-insensitive: "aapl" → "AAPL"
- With exchange suffix: "AAPL:NASDAQ" → "AAPL"
What ships with it
1 file 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.
- 9d ago First seen · 187 lines · 0 tokens per session scan A 01b3ef9b647b
query-interpreter is a skill published in the GitHub repository lowtidebuild/public-equity-research (46 stars, last pushed 1mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 2,229 tokens. 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 2026-08-30.
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