Graham Net Net
questflowai/investorskills
A skill your agent uses when evaluating Benjamin Graham-style deep value: net-nets, working capital bargains, margin of safety, statistical cheapness, and balance-sheet protection.
Generate a one-page Market Posture summary with net exposure ceiling, growth-vs-value bias, participation breadth, and new-entry-allowed vs cash-priority recommendation by integrating signals from…
MITAuto-check passed
Install Exposure Coach
$ npx skills add tradermonty/claude-trading-skills --skill exposure-coach -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install tradermonty/claude-trading-skills exposure-coach --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/exposure-coach .claude/skills/exposure-coach && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "exposure-coach" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/exposure-coach into .claude/skills/exposure-coach/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "exposure-coach", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/tradermonty/claude-trading-skills/tree/main/skills/exposure-coachType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add tradermonty/claude-trading-skills --skill exposure-coach -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install tradermonty/claude-trading-skills exposure-coach --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/exposure-coach .agents/skills/exposure-coach && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "exposure-coach" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/exposure-coach into .agents/skills/exposure-coach/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "exposure-coach", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add tradermonty/claude-trading-skills --skill exposure-coach -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install tradermonty/claude-trading-skills exposure-coach --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/exposure-coach .cursor/skills/exposure-coach && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "exposure-coach" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/exposure-coach into .cursor/skills/exposure-coach/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "exposure-coach", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/tradermonty/claude-trading-skills.git --path skills/exposure-coach--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add tradermonty/claude-trading-skills --skill exposure-coach -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install tradermonty/claude-trading-skills exposure-coach --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/exposure-coach .gemini/skills/exposure-coach && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "exposure-coach" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/exposure-coach into .gemini/skills/exposure-coach/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "exposure-coach", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install tradermonty/claude-trading-skills exposure-coachInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add tradermonty/claude-trading-skills --skill exposure-coach -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/exposure-coach .github/skills/exposure-coach && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "exposure-coach" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/exposure-coach into .github/skills/exposure-coach/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "exposure-coach", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add tradermonty/claude-trading-skills --skill exposure-coach -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install tradermonty/claude-trading-skills exposure-coach --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/exposure-coach .opencode/skills/exposure-coach && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "exposure-coach" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/exposure-coach into .opencode/skills/exposure-coach/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "exposure-coach", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
exposure-coach- GitHub stars
- 3k
- Used in
- 1 other repo
- Token cost
- ~1.8k tokens
- SKILL.md length
- 610 words
- Files
- 7 (incl. scripts, references)
- Skills in repo
- 74
- Repo updated
- First seen
- Licence
- MIT
At a glance
Generate a one-page Market Posture summary with net exposure ceiling, growth-vs-value bias, participation breadth, and new-entry-allowed vs cash-priority recommendation by integrating signals from…
- Works in 4 steps: Gather Upstream Skill Outputs → Run Exposure Scoring Engine → Interpret the Market Posture Summary → …
- SKILL.md covers Overview, When to Use, Prerequisites and Workflow, plus 3 more sections
- Runs Python scripts from its folder; calls python3; needs FMP_API_KEY
What it does
Exposure Coach is an agent skill from tradermonty/claude-trading-skills. Generate a one-page Market Posture summary with net exposure ceiling, growth-vs-value bias, participation breadth, and new-entry-allowed vs cash-priority recommendation by integrating signals from breadth, regime, and flow analysis skills.
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts and reference files (for example `references/exposure_framework.md`, `references/regime_exposure_map.md` and `scripts/calculate_exposure.py`).
The repository describes itself as: Claude Code skills for equity investors and traders — market analysis, technical charting, economic calendars, screeners, and trading strategy development. The licence is MIT.
Example prompts
- “/exposure-coach”
Requirements
- Python 3
- A credential in FMP_API_KEY
Workflow steps
4 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit c8d58f0. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 3 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
FMP_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Exposure Coach loads about 1.8k tokens when it runs, and up to ~4.2k if it reads all its reference files. Until then it costs about 64 tokens; SKILL.md has 610 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from tradermonty/claude-trading-skills at commit c8d58f0, republished under its MIT licence (© tradermonty). 610 words, ~1,803 tokens.
Download SKILL.mdSave it as
.claude/skills/exposure-coach/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.- name
- exposure-coach
- description
- Generate a one-page Market Posture summary with net exposure ceiling, growth-vs-value bias, participation breadth, and new-entry-allowed vs cash-priority recommendation by integrating signals from breadth, regime, and flow analysis skills.
Exposure Coach
Overview
Exposure Coach synthesizes outputs from market-breadth-analyzer, uptrend-analyzer, macro-regime-detector, market-top-detector, ftd-detector, theme-detector, sector-analyst, and institutional-flow-tracker into a unified control-plane decision. The skill answers the solo trader's core question: "How much capital should I commit to equities right now?" before any individual stock analysis begins.
When to Use
- Before initiating any new stock positions to determine appropriate capital commitment
- At the start of each trading week to calibrate portfolio exposure
- When multiple market signals conflict and a unified posture is needed
- After significant macro or market events to reassess exposure ceiling
- When transitioning between market regimes (broadening, concentration, contraction)
Prerequisites
- Python 3.9+
- FMP API key (set
FMP_API_KEYenvironment variable) for institutional-flow-tracker data - Input JSON files from upstream skills (see Workflow Step 1)
- Standard library +
argparse,json,datetime
Workflow
Step 1: Gather Upstream Skill Outputs
Collect the most recent JSON outputs from integrated skills. Each file provides a specific signal dimension:
| Skill | Output File Pattern | Signal Provided |
|---|---|---|
| market-breadth-analyzer | breadth_*.json | Advance/decline ratios, new highs/lows |
| uptrend-analyzer | uptrend_*.json | Uptrend participation percentage |
| macro-regime-detector | regime_*.json | Current regime (Concentration, Broadening, etc.) |
| market-top-detector | top_risk_*.json | Distribution day count, top probability score |
| ftd-detector | ftd_*.json | Follow-Through Day quality (market bottom confirmation) |
| theme-detector | theme_detector_*.json or theme_*.json | Active investment themes and rotation |
| sector-analyst | sector_*.json | Sector performance rankings |
| institutional-flow-tracker | institutional_*.json | Net institutional buying/selling |
Step 2: Run Exposure Scoring Engine
Execute the exposure scoring script with paths to upstream outputs:
python3 skills/exposure-coach/scripts/calculate_exposure.py \
--breadth reports/breadth_latest.json \
--uptrend reports/uptrend_latest.json \
--regime reports/regime_latest.json \
--top-risk reports/top_risk_latest.json \
--ftd reports/ftd_latest.json \
--theme reports/theme_latest.json \
--sector reports/sector_latest.json \
--institutional reports/institutional_latest.json \
--output-dir reports/The script accepts partial inputs; missing files reduce confidence but do not block execution.
Canonical macro-regime reports must include nested regime.confidence and
composite.data_quality with valid integer component counts. Missing or malformed
availability metadata, very_low confidence, and zero usable components are
treated as missing critical input. They do not contribute a regime score or bias,
and the normal missing-input haircut and confidence cap apply. Never override this
degradation by manually copying the report's regime label into the exposure decision.
Verification pitfall: After each run, inspect the generated JSON fields inputs_provided and inputs_missing. If a file you passed on the CLI still appears in inputs_missing (for example a theme-detector JSON that the exposure engine did not recognize), report the affected dimension as degraded and keep confidence capped; do not assume the supplied input was incorporated just because the CLI argument was present.
Theme-detector ingestion caveat: The theme detector commonly emits theme_detector_YYYY-MM-DD_HHMMSS.json with a themes object. If that file is not recognized by calculate_exposure.py and theme remains in inputs_missing, do not fold theme strength into the exposure ceiling manually. Instead, keep the Exposure Coach confidence capped, state that the theme dimension was not incorporated, and summarize theme/sector findings separately in the broader trading brief.
Show full SKILL.md (183 more words)Show less
Step 3: Interpret the Market Posture Summary
Review the generated posture report containing:
- Exposure Ceiling -- Maximum recommended equity allocation (0-100%)
- Bias Direction -- Growth vs Value tilt based on regime and flow
- Participation Assessment -- Broad (healthy) vs Narrow (fragile) market
- Action Recommendation -- NEW_ENTRY_ALLOWED, REDUCE_ONLY, or CASH_PRIORITY
- Confidence Level -- HIGH, MEDIUM, or LOW based on input completeness
Step 4: Apply Exposure Guidance
Map the posture recommendation to portfolio actions:
| Recommendation | Action |
|---|---|
| NEW_ENTRY_ALLOWED | Proceed with stock-level analysis and new positions |
| REDUCE_ONLY | No new entries; trim existing positions on strength |
| CASH_PRIORITY | Raise cash aggressively; avoid all new commitments |
Output Format
JSON Report
{
"schema_version": "1.0",
"generated_at": "2026-03-16T07:00:00Z",
"exposure_ceiling_pct": 70,
"bias": "GROWTH",
"participation": "BROAD",
"recommendation": "NEW_ENTRY_ALLOWED",
"confidence": "HIGH",
"component_scores": {
"breadth_score": 65,
"uptrend_score": 72,
"regime_score": 80,
"top_risk_score": 25,
"ftd_score": 10,
"theme_score": 68,
"sector_score": 70,
"institutional_score": 75
},
"inputs_provided": ["breadth", "uptrend", "regime", "top_risk"],
"inputs_missing": ["ftd", "theme", "sector", "institutional"],
"rationale": "Broad participation with low top risk supports elevated exposure."
}Markdown Report
The markdown report provides a one-page summary suitable for quick review:
# Market Posture Summary
**Date:** 2026-03-16 | **Confidence:** HIGH
## Exposure Ceiling: 70%
| Dimension | Score | Status |
|-----------|-------|--------|
| Breadth | 65 | Healthy |
| Uptrend Participation | 72% | Broad |
| Regime | Broadening | Favorable |
| Top Risk | 25 | Low |
## Recommendation: NEW_ENTRY_ALLOWED
**Bias:** Growth > Value
**Participation:** Broad (healthy internals)
### Rationale
Broad participation with low distribution day count supports elevated equity exposure.
New positions allowed within the 70% ceiling.Reports are saved to reports/ with filenames exposure_posture_YYYY-MM-DD_HHMMSS.{json,md}.
Resources
scripts/calculate_exposure.py-- Main orchestrator that scores and synthesizes inputsreferences/exposure_framework.md-- Scoring rules and threshold definitionsreferences/regime_exposure_map.md-- Regime-to-exposure ceiling mappings
Key Principles
- Safety First -- Default to lower exposure when inputs are incomplete or conflicting
- Regime Alignment -- Let macro regime set the baseline; breadth adjusts within bounds
- Actionable Output -- Always produce a clear recommendation, not just data aggregation
© tradermonty, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 6 other files (scripts, references) in skills/exposure-coach of tradermonty/claude-trading-skills.
- SKILL.md
- references/exposure_framework.md
- references/regime_exposure_map.md
- requirements.txt
- scripts/calculate_exposure.py
- scripts/tests/conftest.py
- scripts/tests/test_calculate_exposure.py
Open the folder on GitHubat commit c8d58f0
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in tradermonty/claude-trading-skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Exposure Coach next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Exposure Coach this skilltradermonty/claude-trading-skills | 3k | 1 repos | ~1.8k | Automated safety check: Pass | MIT | |
| Graham Net Netquestflowai/investorskills | 1.9k | — | ~478 | Automated safety check: Pass | MIT | |
| Interview Coachsickn33/agentic-awesome-skills | 47k | 2 repos | ~751 | Automated safety check: Pass | MIT | |
| Speak Summarygithub/awesome-copilot | 40k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Claude Coachalirezarezvani/claude-skills | 28k | — | ~2.1k | Automated safety check: Pass | MIT | |
| Nano Nets AutomationComposioHQ/awesome-claude-skills | 77k | 3 repos | ~738 | Automated safety check: Pass | None |
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Questions about Exposure Coach
What does Exposure Coach do?
Generate a one-page Market Posture summary with net exposure ceiling, growth-vs-value bias, participation breadth, and new-entry-allowed vs cash-priority recommendation by integrating signals from…. Exposure Coach is an agent skill from tradermonty/claude-trading-skills. Generate a one-page Market Posture summary with net exposure ceiling, growth-vs-value bias, participation breadth, and new-entry-allowed vs cash-priority recommendation by integrating signals from breadth, regime, and flow analysis skills.
How do I install Exposure Coach in Claude Code?
Run `npx skills add tradermonty/claude-trading-skills --skill exposure-coach -a claude-code`. Or copy the skill folder (skills/exposure-coach in tradermonty/claude-trading-skills) into .claude/skills/exposure-coach in your project. Claude Code loads it when a task matches its description.
How do I install Exposure Coach in Codex?
Run `npx skills add tradermonty/claude-trading-skills --skill exposure-coach -a codex`. Or copy the skill folder (skills/exposure-coach in tradermonty/claude-trading-skills) into .agents/skills/exposure-coach in your project. Codex loads it when a task matches its description.
Can I use Exposure Coach in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add tradermonty/claude-trading-skills --skill exposure-coach -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/exposure-coach, .gemini/skills/exposure-coach, .github/skills/exposure-coach and .opencode/skills/exposure-coach in your project.
What does Exposure Coach need to run?
Going by SKILL.md and its folder, Exposure Coach needs Python for the scripts in its folder, the command-line tools its instructions call (python3) and credentials named FMP_API_KEY. Our summary lists: Python 3; A credential in FMP_API_KEY.
Does Exposure Coach access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Exposure Coach safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Exposure Coach use?
Exposure Coach is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Exposure Coach use?
About 1.8k tokens (SKILL.md is roughly 7.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.4k tokens, read only when the agent opens those files.
What are the alternatives to Exposure Coach?
Skills that share tags, products or a category with Exposure Coach: Graham Net Net (questflowai/investorskills, 1.9k stars), Interview Coach (sickn33/agentic-awesome-skills, 47k stars), Speak Summary (github/awesome-copilot, 40k stars) and Claude Coach (alirezarezvani/claude-skills, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Exposure Coach?
tradermonty (a GitHub user) maintains it in tradermonty/claude-trading-skills, which has 2,982 GitHub stars. The repository holds 74 skills in this directory. The repository was last updated on October 11, 2026.
Source: tradermonty/claude-trading-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.