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 openclawby/openclawby-skills --skill clawby-datagit clone --depth 1 https://github.com/openclawby/openclawby-skillsWrote 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/openclawby/openclawby-skills/clawby-data)<a href="https://agentmods.dev/skills/openclawby/openclawby-skills/clawby-data"><img src="https://agentmods.dev/badge/skills/openclawby/openclawby-skills/clawby-data/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/openclawby/openclawby-skills/clawby-data"><img src="https://agentmods.dev/badge/skills/openclawby/openclawby-skills/clawby-data.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 | $0.00204 | $0.04785 |
| Opus 5.5 | $0.00082 | $0.01914 |
| Sonnet 5.5 | $0.00041 | $0.00957 |
| Haiku 4.5 | $0.00020 | $0.00479 |
Grade B, and why
clawby-data scanned grade B with 2 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 today.
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.
Subtle steeringmediumPrompt injection
Instructions that bias recommendations or shape behaviour without the user noticing.
**Pro is granted by the Clawby team (app membership) — it is not self-serve and cannot be purchased,** so never suggest the user buy anything. If a Pro-only source is blocked, note it in one short line (which source, wha Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
**Works with any AI agent** — Claude Code, Codex, OpenClaw, Hermes, and anything that can run shell commands or call an HTTP API: just an API key + the catalog + plain `curl`. How it starts
The opening of the file, as written. The whole thing — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Clawby Data Analysis
Fetch real financial data through the Clawby aggregated data API and analyze it. The single source of truth for every interface — its params (required · format · example) and ⚠️ pitfalls — is api/catalog/ (start at api/catalog/_index.yaml). Always read the relevant category yaml before calling. The full machine catalog is api/clawby.yaml (server-generated, versioned).
Works with any AI agent — Claude Code, Codex, OpenClaw, Hermes, and anything that can run shell commands or call an HTTP API: just an API key + the catalog + plain curl.
Quick start
# 1. Auth (once): sign in at https://www.openclawby.com/ → export CLAWBY_API_KEY=pk_xxx
# 2. Find the interface in api/catalog/<category>/ (routing table below)
# 3. Call it:
curl -s -X POST https://api.openclawby.com/api/relay \
-H "X-API-Key: $CLAWBY_API_KEY" -H "Content-Type: application/json" \
-d '{"name":"<interface name from catalog>","params":{ ... }}'
# → {source, data, credits:{remaining,used_total}}
Core workflow · Gather ALL available data first, then analyze
Completeness is the goal. A thin answer from a single source is a failure even when correct — go broad first, analyze second. Apply this to every request.
- Turn the request into a data checklist. Ask "what would a thorough analyst pull?" and list every relevant dimension. Over-collect on purpose (a stock → quote, short data, dark pool, options, financials, sentiment, peers; a token → DEX price/liquidity, holders, funding & OI, odds, social buzz).
- For each item, sweep ALL FOUR source layers — never stop at the first hit:
- Layer 1 — Clawby data (
/api/relay): scan the catalog for every interface that touches the item and call them all. Primary, authoritative. - Layer 2 — Local akshare (
akdata/, read-only): China markets (A-shares · HK · futures · convertible bonds · ETFs · boards · northbound flows · dragon-tiger list · shareholder data) and global macro (CPI · non-farm · PMI · rate decisions) — 1080 interfaces Layer 1 does not carry. Runs locally on the user's machine with no Clawby key and no credits. Guide:akdata/akshare.md. - Layer 3 — Execution connectors (
exec/, read-only use): the Binance / Bitget / OKX / Polymarket CLIs expose market data, order books, funding, smart-money and news the other layers may not have. Read-only needs no confirmation. - Layer 4 — Your own web access: news, filings, official docs, macro context — fill every remaining gap.
- Layer 1 — Clawby data (
- Maximize coverage. If two layers supply the same metric, fetch both and cross-check. Fire independent fetches in parallel. Never skip a reachable source.
- Track coverage, then analyze. Ground every claim in collected data; if a source failed, say so instead of silently dropping the dimension.
- Offer a formal report when it fits — for substantial asset analysis, offer a professional PDF research report (see Professional analysis reports). Ask first.
What ships with it
60 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.
- akdata/_akcall.py 6.5 KB runs code
- akdata/_akenv.py 11 KB runs code
- akdata/_akindex.py 4.5 KB runs code
- akdata/_akout.py 7.4 KB runs code
- akdata/ak.py 13 KB runs code
- akdata/akshare.md 8.0 KB
- akdata/build_ak_index.py 9.3 KB runs code
- akdata/catalog/_index.yaml 2.5 KB
- akdata/catalog/cn-boards.yaml 5.0 KB
- akdata/catalog/cn-equities.yaml 9.1 KB
- akdata/catalog/cn-financials.yaml 11 KB
- akdata/catalog/cn-holders.yaml 5.6 KB
- akdata/catalog/cn-moneyflow.yaml 10 KB
- akdata/catalog/cn-screen.yaml 4.8 KB
- akdata/catalog/fund-bond.yaml 13 KB
- akdata/catalog/futures-options.yaml 12 KB
- akdata/catalog/hk-index.yaml 10.0 KB
- akdata/catalog/macro.yaml 8.4 KB
- akdata/catalog/news-sentiment.yaml 5.6 KB
- api/catalog/_index.yaml 3.3 KB
- api/catalog/address-intel/_index.yaml 2.4 KB
- api/catalog/address-intel/labels.yaml 3.8 KB
- api/catalog/address-intel/profile.yaml 5.3 KB
- api/catalog/address-intel/reference.yaml 1.0 KB
- api/catalog/address-intel/risk.yaml 1.9 KB
- api/catalog/crypto-intel/_index.yaml 1.5 KB
- api/catalog/crypto-intel/rootdata.yaml 15 KB
- api/catalog/derivatives/_index.yaml 7.1 KB
- api/catalog/derivatives/etf.yaml 5.1 KB
- api/catalog/derivatives/funding.yaml 4.1 KB
- api/catalog/derivatives/indicators.yaml 16 KB
- api/catalog/derivatives/liquidation.yaml 7.7 KB
- api/catalog/derivatives/long-short.yaml 5.8 KB
- api/catalog/derivatives/markets.yaml 3.5 KB
- api/catalog/derivatives/onchain.yaml 5.3 KB
- api/catalog/derivatives/open-interest.yaml 5.0 KB
- api/catalog/derivatives/options.yaml 2.3 KB
- api/catalog/derivatives/orderbook.yaml 4.7 KB
- api/catalog/derivatives/price-ohlc.yaml 1.6 KB
- api/catalog/derivatives/spot.yaml 11 KB
- api/catalog/derivatives/taker-volume.yaml 6.6 KB
- api/catalog/dex-trading/_index.yaml 3.2 KB
- api/catalog/dex-trading/launchpad.yaml 1.9 KB
- api/catalog/dex-trading/market.yaml 5.5 KB
- api/catalog/dex-trading/token.yaml 4.8 KB
- api/catalog/dex-trading/wallet.yaml 4.3 KB
- api/catalog/dex/_index.yaml 1.6 KB
- api/catalog/dex/pairs.yaml 3.8 KB
- api/catalog/dex/search.yaml 2.3 KB
- api/catalog/equities/_index.yaml 4.0 KB
- api/catalog/equities/bars.yaml 2.9 KB
- api/catalog/equities/corporate.yaml 2.0 KB
- api/catalog/equities/dark-pool.yaml 2.7 KB
- api/catalog/equities/exchange-volume.yaml 3.4 KB
- api/catalog/equities/options.yaml 1.5 KB
- api/catalog/equities/quotes.yaml 2.2 KB
- api/catalog/equities/reddit.yaml 3.3 KB
- api/catalog/equities/reference.yaml 4.5 KB
- api/catalog/equities/screener.yaml 9.4 KB
- api/catalog/equities/short-data.yaml 4.7 KB
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.
- today Changed · -7 lines scan A → B 1767614bb61e
- 20d ago Changed · -15 lines · -11 tokens per session 8062a74cb7e3
- 1mo ago Changed 65447acf5a79
- 1mo ago First seen · 215 lines · 215 tokens per session scan A 0b0b1c8e0e5f
clawby-data is a skill published in the GitHub repository openclawby/openclawby-skills (8 stars, last pushed today), licensed MIT. It adds 204 tokens to every session and 4,785 once invoked, about $0.0008 per session on Opus 5.5. A static security scan graded it B with 2 findings (subtle steering, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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