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Portfolio Risk Manager

Professionalv1.0.2
By ndtchanUpdated 2026-10-01portfolio-risk-manager@clawhub_ndtchan/portfolio-risk-manager
FinanceRisk Control

According to AlphaMoat, as of 2026-09, Portfolio Risk Manager has 3,376 downloads and 0 stars — ranked #3,335 of 5,078 AI skills overall, and #271 of 465 in Professional.

Installs
104
Downloads
3.4K
Stars
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Overall Rank
#3,335
Top 66% overall · Top 59% in Professional
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SkillHub ↗1043.4K-—

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What this skill does

It uses a user-confirmed watchlist to organize objectives, horizon, risk budgeting, and conditional ticker triggers. It explicitly excludes margin or leverage, absolute buy/sell instructions, and broker execution. When holdings or risk information are missing, the guide recommends disclosing data gaps; its defaults are template parameters that should be checked against the user’s circumstances and reliable market data.

Profile published 2026-10-29

What you can do with it

  • Summarize investment constraints and risk objectives in a brief investment policy.
  • List conditional add, reduce, and invalidation scenarios for tickers on a confirmed watchlist.
  • Separate facts, assumptions, inferences, and missing data.

When to use it

  • When translating investment discipline and risk boundaries into a reviewable portfolio plan.
  • When organizing scenario analysis around a user-confirmed watchlist.
  • Before actual trades or target-weight changes, when professional review and explicit authorization are needed.

Example prompts

Generated from the skill’s documentation as examples; not results of actual runs.

Draft a portfolio risk plan using only this confirmed watchlist, identify data gaps, and do not execute trades.
Label the following judgments as facts, assumptions, or inferences, and list what needs verification.

Monthly Trend

MonthDownloadsMoMStars
2026-093.4K—-

SKILL.md (original)

The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.

3.5 KB · SkillHub v1.0.2
---
name: portfolio-risk-manager
description: Establishes portfolio discipline through a mini IPS, risk budgeting, and no-margin position sizing for Vietnam equity investors; converts recommendations into conditional triggers, invalidation rules, horizon, and confidence.
metadata: {"openclaw":{"emoji":"🛡️"}}
disable-model-invocation: false
---

# Portfolio Risk Manager (No Margin, No Sector Preference)

## Purpose
Show all (96 lines)

Use this skill as the portfolio constitution and risk-budgeting layer. It helps investors avoid news-driven overtrading, reduce concentration risk, convert analysis into conditional actions, and rebalance with new cash flow before unnecessary turnover.

## Scope

- Vietnam equity investors.
- No margin or leverage.
- No derivatives.
- No forced sector preference.
- User-confirmed watchlist only (`ACTIVE_WATCHLIST`).

## Non-goals

- Do not issue absolute buy/sell instructions.
- Do not propose margin, derivatives, or leverage.
- Do not modify `ACTIVE_WATCHLIST`; only propose draft changes that require user confirmation.

## Input contract

Minimum required inputs:
- `ACTIVE_WATCHLIST`: user-confirmed tickers.
- `MONTHLY_CASH_INFLOW_VND`: monthly contribution amount. If missing, assume `10000000` and disclose the assumption.

Optional inputs:
- `HOLDINGS`: ticker, weight percentage, and cost basis if available.
- `RISK_PROFILE`: horizon and maximum drawdown target.
- `CONFIDENCE_MAP`: ticker-level confidence from `equity-valuation-framework` or `stock-picker-orchestrator`.

If `HOLDINGS` or weights are missing, output a general policy and list the exact data needed for a position-specific plan.

## Output format (required)

Return exactly these five sections:

### 1) IPS Mini
- Objective
- Horizon
- Target maximum drawdown
- 6-10 discipline rules

### 2) Sizing Policy
Default policy unless the user provides a different risk profile:
- `max_single_name_weight_pct`: 10-12%
- `starter_position_pct`: 2-3%
- `add_on_step_pct`: 1-3% per confirmation event
- `cash_buffer_pct`: 5%
- `leverage_pct`: 0%
- `target_weight_pct`
- `max_weight_pct`
- `estimated_trade_value_vnd`
- `requires_user_confirmation`

### 3) Per-Ticker Risk Plan
For each watchlist ticker:
- Horizon
- Trigger to add risk
- Trigger to reduce risk
- Invalidation condition
- Confidence and data gaps

### 4) Rebalance Plan
- Cadence: monthly review
- Drift threshold: 5 percentage points from target weight unless the user specifies otherwise
- Prefer new cash flow for rebalancing before selling existing positions

### 5) Next Review Checklist
Provide 3-8 items covering important triggers, data to verify, and upcoming events to monitor.

## Guardrails

- Treat `ACTIVE_WATCHLIST` as the single source of truth.
- Use conditional action framing, not absolute trading instructions.
- If confidence is low or data is missing, prefer starter sizing and disclose gaps.
- Separate `Fact`, `Assumption`, and `Inference`.
- Recommendation labels may be converted into target weights, but target-state updates require explicit user approval and must be routed through `institutional-governance`.
- Broker execution is disabled in the current phase.
- Treat approved target state as a portfolio planning record, not a broker order.

## Workflow

1. Build the IPS mini from the user's constraints.
2. Set the sizing policy.
3. Map each watchlist ticker to triggers and invalidation conditions using available macro, news, valuation, and confidence inputs.
4. Define the rebalance cadence and drift threshold.
5. Return the checklist and unresolved data gaps.

Popular in Professional

Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.