HK IPO Parameter Manager

v0.1.0

Save, inspect, activate, and compare Hong Kong IPO scoring parameter versions across weights, thresholds, and cost assumptions. Use when the user wants to tu...

0· 76·0 current·0 all-time

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for hackstoic/hkipo-parameter-manager.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "HK IPO Parameter Manager" (hackstoic/hkipo-parameter-manager) from ClawHub.
Skill page: https://clawhub.ai/hackstoic/hkipo-parameter-manager
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Required binaries: uv
Config paths to check: ~/.hkipo-next/data/hkipo.db
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install hkipo-parameter-manager

ClawHub CLI

Package manager switcher

npx clawhub@latest install hkipo-parameter-manager
Security Scan
VirusTotalVirusTotal
Benign
View report →
OpenClawOpenClaw
Benign
high confidence
Purpose & Capability
Name/description (parameter versioning and comparison) match the delivered artifacts: a CLI 'hkipo-next' with params commands and a declared config DB (~/.hkipo-next/data/hkipo.db). Requiring 'uv' to run the included runtime is proportionate to the install/run approach.
Instruction Scope
SKILL.md instructs running the bundled runtime via 'uv run --directory runtime/hkipo-next hkipo-next ...' and refers to the local sqlite DB. The runtime code performs web requests to public IPO data sources (expected for scoring/comparison) and reads/writes its own data store. There are no instructions to read unrelated system files or to export secrets.
Install Mechanism
Install spec uses a Homebrew formula 'uv' which is a reasonable, low-risk mechanism compared to arbitrary downloads. Verify that the 'uv' formula being installed is the intended package on your platform (name is short/uncommon, so confirm it maps to the expected CLI runner). The bundle itself contains Python code (no remote extract from unknown URLs).
Credentials
No environment variables or external credentials are required. The single required config path (~/.hkipo-next/data/hkipo.db) is consistent with a stateful parameter manager. Network access to public data sources is part of functionality and does not require secrets.
Persistence & Privilege
always is false; the skill does not request forced or global persistence. It creates/uses a local DB under the user's home directory only, which is appropriate for storing parameter versions.
Assessment
This skill appears to be what it says: a bundled CLI for managing HK IPO scoring parameters that stores state in ~/.hkipo-next/data/hkipo.db and fetches public IPO data from several websites. Before installing: 1) Confirm the Homebrew 'uv' formula is the intended runner on your system (name is short/uncommon). 2) Back up any existing ~/.hkipo-next/data/hkipo.db to avoid accidental overwrite. 3) Expect the tool to make outbound HTTP(S) requests to public data sources (aipo.myiqdii.com, aastocks, hkex endpoints, etc.); run it in a network-limited environment if you need to audit traffic first. 4) If you want to be extra cautious, inspect runtime/hkipo-next source files locally (they are bundled) or run the CLI in a sandbox/VM before granting access to your main environment.

Like a lobster shell, security has layers — review code before you run it.

Runtime requirements

⚙️ Clawdis
Binsuv
Config~/.hkipo-next/data/hkipo.db

Install

Install uv with Homebrew
Bins: uv
brew install uv
latestvk975ne6bzgeqbyd9can1fyk91584y8se
76downloads
0stars
1versions
Updated 1w ago
v0.1.0
MIT-0

HK IPO Parameter Manager

Use this skill for stateful scoring-rule management.

Runtime

This publish bundle includes the required CLI runtime under runtime/hkipo-next.

From the skill folder:

cd <skill_dir>
uv run --directory runtime/hkipo-next hkipo-next ...

By default parameter versions are stored in ~/.hkipo-next/data/hkipo.db.

Parameter Model

  • Weights: snapshot-quality-weight, affordability-weight, pricing-stability-weight, sponsor-support-weight, cost-efficiency-weight
  • Thresholds: participate-min, cautious-min
  • Costs: handling-fee-hkd, financing-rate-annual-pct, cash-opportunity-rate-annual-pct, lockup-days

Workflow

  1. Inspect current versions with params list or params show.
  2. Save new candidates instead of mutating old versions.
  3. Activate a version only when the user wants it to become the new default.
  4. Compare candidate versions on a representative symbol before broad rollout.

Commands

List versions:

cd <skill_dir>
uv run --directory runtime/hkipo-next hkipo-next params list --format json

Show the active version:

cd <skill_dir>
uv run --directory runtime/hkipo-next hkipo-next params show --format json

Save and activate a tuned version:

cd <skill_dir>
uv run --directory runtime/hkipo-next hkipo-next params save \
  --name conservative-margin \
  --sponsor-support-weight 0.20 \
  --cost-efficiency-weight 0.25 \
  --participate-min 78 \
  --cautious-min 62 \
  --lockup-days 6 \
  --notes "Bias toward sponsor quality and lower carrying cost" \
  --activate \
  --format json

Compare two versions:

cd <skill_dir>
uv run --directory runtime/hkipo-next hkipo-next params compare 2476 v0002 v0003 --format json

Output Cues

  • active_version is the default version used by later scoring commands.
  • action_changed in compare output tells you whether a tuning change would alter the recommendation.
  • factor_deltas shows which factor scores moved between versions.

Companion Skills

  • Use $hkipo-decision-engine after an active version is ready.
  • Use $hkipo-review-optimizer when tuning changes come from real-world review feedback.

Comments

Loading comments...