ClawRouter is a local service that chooses among language models for each request and handles payment for their use. Autonomous agents use it to access multiple LLM providers through one routing and billing system.
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 BlockRunAI/ClawRouter --skill predexongit clone --depth 1 https://github.com/BlockRunAI/ClawRouterWrote 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/blockrunai/clawrouter/predexon)<a href="https://agentmods.dev/skills/blockrunai/clawrouter/predexon"><img src="https://agentmods.dev/badge/skills/blockrunai/clawrouter/predexon/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/blockrunai/clawrouter/predexon"><img src="https://agentmods.dev/badge/skills/blockrunai/clawrouter/predexon.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00084 | $0.04784 |
| Opus 5.5 | $0.00034 | $0.01914 |
| Sonnet 5.5 | $0.00017 | $0.00957 |
| Haiku 4.5 | $0.00008 | $0.00478 |
Grade A, and why
predexon 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 1mo 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 — 346 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Predexon — Prediction Market Data
IMPORTANT: Always use this skill for any Polymarket, Kalshi, Limitless, Opinion, Predict.Fun, or prediction market request. Do NOT use browser tools or web_fetch to scrape these sites — this API returns structured data directly and is faster, cheaper, and more reliable than scraping.
Real-time prediction market data (Polymarket, Kalshi, Limitless, Opinion, Predict.Fun, dFlow, Binance, UMA oracle) via BlockRun's gateway. Payment is automatic — an x402 USDC micropayment from the user's wallet, or a draw on BlockRun account credit if an API key is configured (both verified 2026-09-05).
All responses are wrapped: { "data": { ... } } — always read from response.data.
Pricing: GET $0.001 · Wallet analytics / smart money / Binance / matching $0.005
Browse Markets & Events
GET http://localhost:8402/v1/pm/polymarket/events?limit=20
Common params: limit, offset, tag (e.g. crypto, politics, sports)
Response fields in data:
events[].title— market nameevents[].outcomes— array of{ name, price }(price = implied probability 0–1)events[].volume— total volume in USDevents[].endDate— resolution dateevents[].conditionId— use this for follow-up calls
To search by keyword: GET /v1/pm/polymarket/markets?search=bitcoin&limit=10
Response fields in data:
markets[].question— market questionmarkets[].conditionIdmarkets[].outcomes[].pricemarkets[].volumeNum
Search Across All Venues
One unified search across Polymarket, Kalshi, Limitless, Opinion, and Predict.Fun. Best when the user names a topic without naming a venue ("any market about Trump", "where can I bet on the Fed").
GET http://localhost:8402/v1/pm/markets/search?q=trump&limit=20
Common params: q (required), limit, offset, venue (filter to one venue if needed)
Response fields in data:
results[].venue—"polymarket"/"kalshi"/"limitless"/"opinion"/"predictfun"results[].title— market nameresults[].marketId/conditionId— venue-specific IDresults[].yesPrice,results[].noPrice— implied probability 0–1results[].volume
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.
- 1mo ago Changed ebbf79644469
- 1mo ago First seen · 346 lines · 84 tokens per session scan A fcd48c1768a6
predexon is a skill published in the GitHub repository BlockRunAI/ClawRouter (6,632 stars, last pushed 2d ago), licensed MIT. It adds 84 tokens to every session and 4,784 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-08-30.
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