senpi-trader-research

senpi-trader-research is a skill for Claude Code, Codex from Senpi-ai/senpi-skills. It costs 256 tokens per session (6,967 once invoked), scanned A, original, MIT.

A research guide for finding and checking traders on Hyperliquid, a crypto trading platform, before copying them. It compares track records, current positions, whether a trader can be mirrored now, and recent four-hour momentum.

In plain words
What is it for?
Use it to rank copy candidates, investigate a specific wallet address, review trading behavior, or decide whether a trader is currently mirrorable.
Why use it?
It helps separate a sustained record from a short lucky streak. It also checks whether a trader's current position is still practical to copy instead of relying only on past returns.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Use it to rank copy candidates, investigate a specific wallet address, review trading behavior, or decide whether a trader is currently mirrorable.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/senpi-ai/senpi-skills/senpi-trader-research
Install

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.

Any agent
npx skills add Senpi-ai/senpi-skills --skill senpi-trader-research
Clone the repo
git clone --depth 1 https://github.com/Senpi-ai/senpi-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for senpi-trader-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/senpi-ai/senpi-skills/senpi-trader-research/github.svg)](https://agentmods.dev/skills/senpi-ai/senpi-skills/senpi-trader-research)
Your own site
<a href="https://agentmods.dev/skills/senpi-ai/senpi-skills/senpi-trader-research"><img src="https://agentmods.dev/badge/skills/senpi-ai/senpi-skills/senpi-trader-research/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.

agentmods 80×15 button for senpi-trader-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/senpi-ai/senpi-skills/senpi-trader-research"><img src="https://agentmods.dev/badge/skills/senpi-ai/senpi-skills/senpi-trader-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 256 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,967 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00256 $0.06967
Opus 5.5 $0.00102 $0.02787
Sonnet 5.5 $0.00051 $0.01393
Haiku 4.5 $0.00026 $0.00697

Measured 28d ago against content hash 3cb8d7b8d523, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

senpi-trader-research 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 28d ago.

The scan reads SKILL.md. This mod also ships 4 executable files (scripts/mcp_client.py, scripts/research.py, tests/test_research_saved_wallets.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

senpi-trader-research/SKILL.md · 329 lines

How it starts

The opening of the file, as written. The whole thing — 329 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Senpi Trader Research — find & vet copy candidates

Not this skill? "Analyze this trader", "how do they trade", "where do they leak", "score my trading", "find traders for me to analyze" → quant-desk. It reads any Hyperliquid address on public data with no token and returns the full desk — strategy read, six scored dimensions, leaks priced as charged counterfactuals, protection audit, both cohorts. This skill answers a narrower question: is this trader worth MIRRORING, and can I mirror them right now. If someone asks to analyse a trader and then decides to copy them, run the desk first and hand off here.

One of the user's saved wallets? Not a copy candidate. A saved wallet is one the user added in Your wallets and trades by hand — a wallet they added, read-only to Senpi. The engine decides it, never guess: it reads user_get_me.external_wallets and matches the address case-insensitively.

  • --trader on a saved wallet returns saved_wallet (with trader: null) instead of a dossier: relay its say line, then offer quant-desk (saved_wallet.route — score, leaks, protection) or senpi-improve-trades (saved_wallet.review_route — "review my trades"). Quote its access line if they ask what Senpi can do with it. Call it "your wallet" or "the wallet you added"; never imply Senpi checked who controls it.
  • The find path drops saved wallets from the pool, so one is never on the copy shortlist; meta.saved_wallets_excluded names any it dropped — say so in one line if it matters.
  • They ask to mirror a wallet they added: don't call it illegitimate and don't run the vet. Say this release can analyze it on the quant desk, and copying a wallet you added isn't set up here yet.
  • meta.saved_wallets_status: "unavailable" → the list couldn't be read, so the engine vetted or ranked as usual. If the address might be theirs, say "I couldn't load your saved wallets" and offer the quant desk too — never "it isn't one of your wallets".
  • An address that isn't saved keeps the vet as below; to save one, the user can add it in Your wallets on senpi.ai (web).

You are a sharp due-diligence analyst. A hidden engine pulls the data; your job is the judgment — who's worth copying, and is this trader's record real or a hot streak. Two jobs:

  • Find — rank Hyperliquid traders by copyability: track record plus whether their book can be mirrored right now (distance-from-entry) and their 4h momentum. Lead with the mirror_shortlist, not the ROI table. (Or rank the top copy strategies.)
  • Vet — build a dossier on one trader: track record + behavior labels + what they hold now + mirrorability + 4h momentum, so the user copies a proven trader they can actually mirror, not a lucky one whose winners already ran.

Read the full file on GitHub · 329 lines

Files

What ships with it

6 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.

Changes

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.

  1. 28d ago Changed · +19 lines · +31 tokens per session 3cb8d7b8d523
  2. 1mo ago Changed · +4 lines a8f111288897
  3. 1mo ago Changed · +13 lines · +82 tokens per session c4a6f21e043c
  4. 2mo ago First seen · 293 lines · 143 tokens per session scan A 138e09f18d9b

Subscribe to this mod's changes

senpi-trader-research is a skill published in the GitHub repository Senpi-ai/senpi-skills (144 stars, last pushed yesterday), licensed MIT. It adds 256 tokens to every session and 6,967 once invoked, about $0.0010 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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