alpharank_activation

alpharank_activation is a skill for Claude Code, Codex from Proxy2021/Enso. It costs 35 tokens per session (662 once invoked), scanned A, original, MIT.

A 30-day plan for getting AlphaRank's first quant-development phase started. Quant development uses data and mathematical methods to build and test trading ideas.

In plain words
What is it for?
Use it to see today's task, review overall progress, check in with notes and time spent, and track blockers and performance measures.
Why use it?
It turns a longer setup effort into daily tasks and records whether work is complete, partly complete, or blocked.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to see today's task, review overall progress, check in with notes and time spent, and track blockers and performance measures.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/proxy2021/enso/alpharank_activation
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 Proxy2021/Enso --skill alpharank_activation
Clone the repo
git clone --depth 1 https://github.com/Proxy2021/Enso

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 alpharank_activation

README.md
[![agentmods](https://agentmods.dev/badge/skills/proxy2021/enso/alpharank_activation/github.svg)](https://agentmods.dev/skills/proxy2021/enso/alpharank_activation)
Your own site
<a href="https://agentmods.dev/skills/proxy2021/enso/alpharank_activation"><img src="https://agentmods.dev/badge/skills/proxy2021/enso/alpharank_activation/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 alpharank_activation

Your own site · 80×15
<a href="https://agentmods.dev/skills/proxy2021/enso/alpharank_activation"><img src="https://agentmods.dev/badge/skills/proxy2021/enso/alpharank_activation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 662 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.
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 $0.00035 $0.00662
Opus 5.5 $0.00014 $0.00265
Sonnet 5.5 $0.00007 $0.00132
Haiku 4.5 $0.00003 $0.00066

Measured 1mo ago against content hash 4da00a204267, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

alpharank_activation 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.

The scan reads SKILL.md. This mod also ships 5 executable files (executors/blockers.js, executors/checkin.js, executors/metrics.js, …), 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.

server/apps/alpharank_activation/SKILL.md · 50 lines

How it starts

The opening of the file, as written. The whole thing — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AlphaRank 30-day activation tracker: daily task planning, progress dashboard, check-ins, performance metrics, and blocker tracking for Phase 1 quant development

Tool Reference

enso_alpharank_activation_today (primary)

Show today's activation task, prerequisites, estimated time, and progress. Use when the user says: 'what should I work on today', 'AlphaRank today', 'show today's task', 'daily plan', 'activation today'.

enso_alpharank_activation_progress

Show the full 30-day activation plan with weekly groupings, task status, streak tracking, and completion estimates. Use when the user says: 'show progress', 'activation progress', '30-day plan', 'AlphaRank status', 'how am I doing'.

enso_alpharank_activation_checkin

Complete a daily check-in: mark today's task as done/partial/blocked, add notes, record time spent. Use when the user says: 'check in', 'mark done', 'daily checkin', 'complete today', 'I finished today's task', 'log progress'.

Parameters:

  • status (string): Task status: done, partial, or blocked
  • notes (string): Notes about what was accomplished or issues encountered
  • hoursSpent (number): Actual hours spent on today's task
  • day (number): Specific day number to check in for (defaults to current active day)

enso_alpharank_activation_metrics

View and update key performance metrics (IC, ICIR, Sharpe, max drawdown, PBO score) with GO/NO-GO gate status. Use when the user says: 'show metrics', 'update metrics', 'AlphaRank metrics', 'GO/NO-GO status', 'performance numbers', 'check gates'.

Parameters:

  • action (string): Action: view (default) or update
  • metricId (string): Metric to update: ic, icir, sharpe, max_dd, pbo, cagr, turnover
  • value (number): New metric value
  • date (string): Date for the metric reading (defaults to today)

enso_alpharank_activation_blockers

Log, view, and manage technical blockers encountered during AlphaRank activation. Use when the user says: 'log blocker', 'show blockers', 'I'm stuck', 'add blocker', 'resolve blocker', 'blocker list'.

Read the full file on GitHub · 50 lines

Files

What ships with it

7 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. 1mo ago First seen · 50 lines · 35 tokens per session scan A 4da00a204267

Subscribe to this mod's changes

alpharank_activation is a skill published in the GitHub repository Proxy2021/Enso (6 stars, last pushed 5mo ago), licensed MIT. It adds 35 tokens to every session and 662 once invoked, about $0.0001 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 2026-08-31.

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