signal-to-trade-demo
Skill389 starsChanged 24 days agoMITView on GitHub
Prepare or run a polished BlockRun trading demo that discovers a current Polymarket market, combines live price, probability history, smart-money, and liquidity evidence into a balanced signal, produces a real order dry-run, and verifies orders or positions. Use for live demos, signal-to-trade workflows, current crypto prediction markets, or when an agent must decide whether a candidate is safe and presentable before trading.
In this repository18 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- blockrun-debugSkill
- blockrun-setupSkill
- blockrunSkill
- blockrun-upgradeSkill
- crypto-dataSkill
- decideSkill
- exa-researchSkill
- gentech-blockrunSkill
- image-promptingSkill
- modalSkill
- phoneSkill
- polymarket-tradingSkill
- prediction-marketsSkill
- rpcSkill
- searchSkill
- surfSkill
The file
We split this skill into the rules it gives an agent
11 rules. About 0 are common, 7 are distinctive, and 4 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈7
Distinctive · estimate
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 8
Run one reproducible chain: discover → verify → analyze → preview → inspect.
- Distinctive: line 9
Treat signals as evidence, never as a promise of profit.
- Distinctive: line 12
Read references/demo-cases.md when selecting a case or preparing a fallback.
- Very specific: line 21
If the current egress is blocked, never call a funds-affecting action with confirm:true.
- Very specific: line 24
Always preview through blockrun_polymarket_read action:"preview".
- Very specific: line 40
Before screen sharing, the human operator may check blockrun_wallet, run setup, and inspect positions/orders.
- Distinctive: line 48
Use a dynamic search rather than a hard-coded condition or token ID:
- Distinctive: line 76
Use four independent lenses where the market supports them:
- Distinctive: line 92
Smart money: use a meaningful cohort:
- Distinctive: line 129
Do not describe the result as financial advice or a guaranteed “good signal.”
- Very specific: line 148
If the user explicitly approves a real order and the region is permitted, repeat the exact economics with blockrun_polymarket action …
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Signal-to-Trade Demo
Run one reproducible chain: discover → verify → analyze → preview → inspect. Treat signals as evidence, never as a promise of profit. Never expose a wallet, credential, order ID, or transaction hash in presentation output.
Read references/demo-cases.md when selecting a case or preparing a fallback.
Hard safety contract
- In a presentation dry-run, do not call wallet, setup, positions, orders, or resources. Those responses can contain wallet-derived identifiers before the final answer is redacted. The presenter performs account readiness privately before screen sharing.
- If the current egress is blocked, never call a funds-affecting action with
confirm:true. Continue with live data and a dry-run order preview only. A Stanford/US presentation is always dry-run mode. - Always preview through
blockrun_polymarket_readaction:"preview". It has no confirmation input and cannot sign or submit an order. A real order requires the user's explicit approval of the exact market, outcome, amount, price/type, and current region eligibility. - Choose the smallest whole-dollar preview from $1–$5 that satisfies the live
min_order_sizeand book depth. Never present a smaller, non-executable preview as valid. Do not split orders to bypass caps. - Paid market-data calls may run in parallel on Base. On Solana keep
@blockrun/llm>= 3.8.4, which is what makes concurrent payments distinct.
1. Private operator preflight
- Confirm the Trading profile exposes eight tools and no image/video/media tool:
wallet, price, dex, markets, defi, rpc, polymarket_read, polymarket.
(It was nine until 2026-09-06, when the gateway retired Surf and
blockrun_surfwent with it — a preflight that still counts nine fails.) - Before screen sharing, the human operator may check
blockrun_wallet, run setup, and inspect positions/orders. Never include those raw calls in the presentation conversation. - For the live dry-run conversation, begin directly with public market discovery. No account state is required to preview a CLOB order.
2. Discover a current market
Use a dynamic search rather than a hard-coded condition or token ID:
blockrun_markets {
path: "markets/search",
params: { q: "Bitcoin", status: "open", venue: "polymarket", limit: "20" }
}markets/search is the discovery path for a demo — it ranks across venues in
one call. Do not automatically select the first polymarket/crypto-updown result because
that feed can contain future placeholders with no liquidity. Rank candidates by:
- open status and a future close time;
- an unambiguous resolution source and threshold;
- non-zero 24-hour volume and trade count;
- a valid condition ID plus outcome token IDs;
- an outcome price away from 0 and 1;
- a live order preview that finds a usable book.
Resolve the selected market using polymarket/markets/keyset with
condition_id, status:"open", and a small limit. Do not invent Gamma-only
parameters such as active, closed, order, or ascending; the MCP rejects
those before payment. Predexon's own search, sort, end_after, and
end_before filters are supported on that endpoint.
3. Collect evidence sequentially
Use four independent lenses where the market supports them:
- Underlying: get current BTC/USD with
blockrun_price, then compute the exact percentage move required to reach the market threshold before expiry. Probability trend: query the selected Yes token:
blockrun_markets { path: "polymarket/candlesticks/token/<TOKEN_ID>", params: { interval: "1440", start_time: "<UNIX_SECONDS>", end_time: "<UNIX_SECONDS>" } }intervalis integer minutes (1440, not1h) and is optional.60was observed returning a paid 400 where1440worked;start_timeandend_timeare Unix seconds.Smart money: use a meaningful cohort:
blockrun_markets { path: "polymarket/market/<CONDITION_ID>/smart-money", params: { window: "30d", min_trades: "100" } }Report wallet count, net-buyer share, volume, and aggregate PnL. A high buyer share with negative PnL is mixed evidence, not automatically bullish.
- Liquidity/history: query historical orderbooks with
token_id,start_time, andend_timein Unix milliseconds. The order dry-run is the authoritative live fillability check.
Record the timestamp and data source for every observation. If a source fails, label it unavailable and continue; never manufacture a value.
4. Build the signal
Present an evidence table with these columns:
| Source | Observation | Supports | Reliability |
| Spot vs threshold | Exact distance and time remaining | Yes/No/Mixed | High |
| Market trend | Probability change over a fixed window | Yes/No/Mixed | Medium |
| Smart-money cohort | Buyer share, volume, PnL | Yes/No/Mixed | Medium |
| Book/liquidity | Spread, available size, 24h activity | Executable/Thin | High |
Then state:
- one-sentence thesis;
- strongest counterevidence;
- confidence (
low,medium, orhigh) with a reason; - proposed side and the smallest executable whole-dollar preview from $1–$5,
or
NO TRADEwhen gates fail.
Do not describe the result as financial advice or a guaranteed “good signal.”
5. Preview and verify
Preview through the dedicated non-destructive action:
blockrun_polymarket_read {
action: "preview",
side: "buy",
token_id: "<TOKEN_ID>",
amount_usd: <SMALLEST_WHOLE_DOLLAR_FROM_1_TO_5_THAT_MEETS_MIN_SIZE>,
order_type: "FOK"
}Show the outcome, live best ask, estimated shares, max cost, and the explicit
line DRY RUN — no order signed or submitted.
If the user explicitly approves a real order and the region is permitted,
repeat the exact economics with blockrun_polymarket action buy/sell and
confirm:true, then use
blockrun_polymarket_read to inspect positions and open orders. Redact all
identifiers. If a FOK does not fill, report it honestly; do not silently switch
to FAK or raise the price.
Presentation output
End with a compact slide-ready block:
LIVE SIGNAL SNAPSHOT — <UTC timestamp>
Market: <question> | Implied probability: <p>
Underlying: <spot> | Required move: <x%> | Time left: <duration>
Trend: <change> | Smart money: <buyer share + PnL caveat>
Liquidity: <spread/activity>
Verdict: <side or NO TRADE> | Confidence: <level>
Order: $<amount> <side> preview | DRY RUN / SUBMITTED
Safety: local signing, capped notional, IDs redactedDoes it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

