practitioner-heuristics
Practitioner heuristic overlay for portfolio review.
Skill by hvkshetry
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/hvkshetry-practitioner-heuristics
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/practitioner-heuristics
What's inside
- Skill name
practitioner-heuristics- Description
- Practitioner heuristic overlay for portfolio review. Implements hard gates (illiquidity ceiling, employer concentration) and advisory layers (ruin scenario, barbell classification, regime exposure, market temperature, position valuations). Called as a sub-skill from portfolio-review after the quantitative risk check (ES/VaR). Disagreement between the ES layer and heuristic layers is the most valuable signal.
- License
- MIT
- Instructions
- 174 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- backtesting-patterns.md · references/
SKILL.md (first lines)
# Practitioner Heuristic Overlay This skill adds the second risk lens alongside ES. It does two things: 1. enforce hard gates before advisory discussion 2. provide the heuristic context needed to sequence corrective actions It should not replace the quantitative engine. ES remains binding. ## Architecture ### Hard gates These gates block action classes: | Gate | Threshold | Action | |------|-----------|--------| | ES limit | ES(97.5%) > 2.5% | Block new risk additions | | Illiquidity ceiling | T2+T3 illiquid > 25% NW | Block new illiquid commitments | | Employer concentration | Employer-linked liquid > 15% | Block incremental employer-linked risk | ### Advisory layers These shape posture and the corrective path: - ruin scenarios - barbell posture - regime concentration - market temperature - concentrated-position valuation context ## Mapping Tables ### Liquidity tier classification | Tier | Label | Examples | |------|-------|---------| | T0 | Cash / risk-free | USD, VMFXX, SPAXX, SWVXX, FDRXX, SHV, BIL, SGOV, USFR, TFLO | | T1 | Daily liquid | VTI, VXUS, VOO, SPY, QQQ, BND, AGG, TLT, GLD, GLDM | | T2 | Semi-liquid | REITs, BDCs, interval funds | | T3 | Illiquid | PE, VC, real estate, private credit | ### Barbell classification | Bucket | Label | Examples | |--------|-------|----------| | Hyper-safe | Risk-free floor | USD, CASH, money-market funds, T-bills | | Convex | Tail protection | GLDM, GLD, IAU, CAOS, TLT, DBMF, KMLM, approved long-vol structures | | Fragile middle | Linear / concave payoff | broad beta, PE, individual equities, most credit, most real estate | ### Convex instrument menu Treat this as governed input to `market-intel-direct.rank_convex_candidates`, not as an auto-prescription list. Approved ranking universe: - `GLDM`, `IAU` - `DBMF`, `KMLM` - `CAOS` - `TLT` when regime-appropriate - `SPY` put-spread templates when options capability permits Avoid: - `VXX`, `VIXY` - `TAIL` - `CYA` - buffer ETFs presented as convex substitutes ## Execution Workflow ### Step 1: Run hard gates first #### ES gate - If `portfolio-analytics.analyze_portfolio_risk` returns `status == "critical"` or the illiquid overlay pushes adjusted ES above `2.5%`, fail the gate. #### Illiquidity gate - Use `finance-graph.get_net_worth` plus Ghostfolio liquid net worth. - If illiquid share of household net worth is above `25%`, fail the gate. #### Employer concentration gate - Use `equity_comp` accounts plus any same-ticker holdings elsewhere. - If employer-linked liquid exposure exceeds `15%`, fail the gate. When a hard gate fails, say so plainly before advisory layers. ### Step 2: Run advisory layers #### Ruin scenario - Run `portfolio-analytics.compute_ruin_scenario` - Show the full stress table, not only one scenario #### Barbell posture - Run `portfolio-analytics.classify_barbell_buckets` - Report: - hyper-safe % - convex % - fragile-middle % - safe gap - convex gap - fragile excess When convex is short, feed the gap into `market-intel-direct.rank_convex_candidates`. #### Regime map - Use the regime table plus macro inputs from `market-intel-direct.get_fred_series` - Flag material underexposure to key regimes #### Market temperature - Run `market-intel-direct.get_shiller_cape` - Run `market-intel-direct.compute_market_temperature` - Only present a full score when `status == "complete"`
From hvkshetry/StewardOS, MIT.
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Signals
- Stars
- 16
- Forks
- 7
- Open issues
- 2
- Last commit (this folder)
- Mar 13, 2026 (7 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/hvkshetry/StewardOS
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
practitioner-heuristics skill. Agent Mart. https://agentmart.dev/skills/hvkshetry-practitioner-heuristics (last updated 2026-10-24)