Question2report
refraction-ray/xalpha
Turn a natural-language financial question into a polished, self-contained HTML report.
Aggregate and rank signals from multiple edge-finding skills (edge-candidate-agent, theme-detector, sector-analyst, institutional-flow-tracker) into a prioritized conviction dashboard with weighted…
$ npx skills add tradermonty/claude-trading-skills --skill edge-signal-aggregator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install tradermonty/claude-trading-skills edge-signal-aggregator --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/edge-signal-aggregator .claude/skills/edge-signal-aggregator && 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 "edge-signal-aggregator" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/edge-signal-aggregator into .claude/skills/edge-signal-aggregator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "edge-signal-aggregator", 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/edge-signal-aggregatorType 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 edge-signal-aggregator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install tradermonty/claude-trading-skills edge-signal-aggregator --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/edge-signal-aggregator .agents/skills/edge-signal-aggregator && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "edge-signal-aggregator" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/edge-signal-aggregator into .agents/skills/edge-signal-aggregator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "edge-signal-aggregator", 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 edge-signal-aggregator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install tradermonty/claude-trading-skills edge-signal-aggregator --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/edge-signal-aggregator .cursor/skills/edge-signal-aggregator && 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 "edge-signal-aggregator" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/edge-signal-aggregator into .cursor/skills/edge-signal-aggregator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "edge-signal-aggregator", 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/edge-signal-aggregator--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 edge-signal-aggregator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install tradermonty/claude-trading-skills edge-signal-aggregator --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/edge-signal-aggregator .gemini/skills/edge-signal-aggregator && 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 "edge-signal-aggregator" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/edge-signal-aggregator into .gemini/skills/edge-signal-aggregator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "edge-signal-aggregator", 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 edge-signal-aggregatorInstalls 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 edge-signal-aggregator -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/edge-signal-aggregator .github/skills/edge-signal-aggregator && 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 "edge-signal-aggregator" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/edge-signal-aggregator into .github/skills/edge-signal-aggregator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "edge-signal-aggregator", 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 edge-signal-aggregator -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 edge-signal-aggregator --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/edge-signal-aggregator .opencode/skills/edge-signal-aggregator && 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 "edge-signal-aggregator" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/edge-signal-aggregator into .opencode/skills/edge-signal-aggregator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "edge-signal-aggregator", 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.
edge-signal-aggregatorAggregate and rank signals from multiple edge-finding skills (edge-candidate-agent, theme-detector, sector-analyst, institutional-flow-tracker) into a prioritized conviction dashboard with weighted…
Edge Signal Aggregator is an agent skill from tradermonty/claude-trading-skills. Aggregate and rank signals from multiple edge-finding skills (edge-candidate-agent, theme-detector, sector-analyst, institutional-flow-tracker) into a prioritized conviction dashboard with weighted scoring, deduplication, and contradiction detection.
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts, reference files and assets (for example `assets/default_weights.yaml`, `references/signal-weighting-framework.md` and `scripts/aggregate_signals.py`).
It sits in Data & Analytics, covering Data cleaning. 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.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit c8d58f0. It shows what the files ask for, not the result of running them.
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.
Ships 3 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Edge Signal Aggregator loads about 1.8k tokens when it runs, and up to ~3.5k if it reads all its reference files. Until then it costs about 68 tokens; SKILL.md has 346 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.
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.
The full file from tradermonty/claude-trading-skills at commit c8d58f0, republished under its MIT licence (© tradermonty). 346 words, ~1,805 tokens.
.claude/skills/edge-signal-aggregator/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.Combine outputs from multiple upstream edge-finding skills into a single weighted conviction dashboard. This skill applies configurable signal weights, deduplicates overlapping themes, flags contradictions between skills, and ranks composite edge ideas by aggregate confidence score. The result is a prioritized edge shortlist with provenance links to each contributing skill.
pyyaml (standard in most environments)Collect output files from the upstream skills you want to aggregate:
reports/edge_candidate_*.json from edge-candidate-agentreports/edge_concepts_*.yaml from edge-concept-synthesizerreports/theme_detector_*.json from theme-detectorreports/sector_analyst_*.json from sector-analystreports/institutional_flow_*.json from institutional-flow-trackerreports/edge_hints_*.yaml from edge-hint-extractorExecute the aggregator script with paths to upstream outputs:
python3 skills/edge-signal-aggregator/scripts/aggregate_signals.py \
--edge-candidates reports/edge_candidate_agent_*.json \
--edge-concepts reports/edge_concepts_*.yaml \
--themes reports/theme_detector_*.json \
--sectors reports/sector_analyst_*.json \
--institutional reports/institutional_flow_*.json \
--hints reports/edge_hints_*.yaml \
--output-dir reports/Optional: Use a custom weights configuration:
python3 skills/edge-signal-aggregator/scripts/aggregate_signals.py \
--edge-candidates reports/edge_candidate_agent_*.json \
--weights-config skills/edge-signal-aggregator/assets/custom_weights.yaml \
--output-dir reports/Open the generated report to review:
Filter the shortlist by minimum conviction threshold:
python3 skills/edge-signal-aggregator/scripts/aggregate_signals.py \
--edge-candidates reports/edge_candidate_agent_*.json \
--min-conviction 0.7 \
--output-dir reports/{
"schema_version": "1.0",
"generated_at": "2026-03-02T07:00:00Z",
"config": {
"weights": {
"edge_candidate_agent": 0.25,
"edge_concept_synthesizer": 0.20,
"theme_detector": 0.15,
"sector_analyst": 0.15,
"institutional_flow_tracker": 0.15,
"edge_hint_extractor": 0.10
},
"min_conviction": 0.5,
"dedup_similarity_threshold": 0.8
},
"summary": {
"total_input_signals": 42,
"unique_signals_after_dedup": 28,
"contradictions_found": 3,
"signals_above_threshold": 12
},
"ranked_signals": [
{
"rank": 1,
"signal_id": "sig_001",
"title": "AI Infrastructure Capex Acceleration",
"composite_score": 0.87,
"contributing_skills": [
{
"skill": "edge_candidate_agent",
"signal_ref": "ticket_2026-03-01_001",
"raw_score": 0.92,
"weighted_contribution": 0.23
},
{
"skill": "theme_detector",
"signal_ref": "theme_ai_infra",
"raw_score": 0.85,
"weighted_contribution": 0.13
}
],
"tickers": ["NVDA", "AMD", "AVGO"],
"direction": "LONG",
"time_horizon": "3-6 months",
"confidence_breakdown": {
"multi_skill_agreement": 0.30,
"signal_strength": 0.35,
"recency": 0.22
}
}
],
"contradictions": [
{
"contradiction_id": "contra_001",
"description": "Conflicting sector view on Energy",
"skill_a": {
"skill": "sector_analyst",
"signal": "Energy sector bearish rotation",
"direction": "SHORT"
},
"skill_b": {
"skill": "institutional_flow_tracker",
"signal": "Heavy institutional buying in XLE",
"direction": "LONG"
},
"resolution_hint": "Check timeframe mismatch (short-term vs long-term)"
}
],
"deduplication_log": [
{
"merged_into": "sig_001",
"duplicates_removed": ["theme_detector:ai_compute", "edge_hints:datacenter_demand"],
"similarity_score": 0.92
}
]
}The markdown report provides a human-readable dashboard:
# Edge Signal Aggregator Dashboard
**Generated:** 2026-03-02 07:00 UTC
## Summary
- Total Input Signals: 42
- Unique After Dedup: 28
- Contradictions: 3
- High Conviction (>0.7): 12
## Top 10 Edge Ideas by Conviction
### 1. AI Infrastructure Capex Acceleration (Score: 0.87)
- **Tickers:** NVDA, AMD, AVGO
- **Direction:** LONG | **Horizon:** 3-6 months
- **Contributing Skills:**
- edge-candidate-agent: 0.92 (ticket_2026-03-01_001)
- theme-detector: 0.85 (theme_ai_infra)
- **Confidence Breakdown:** Agreement 0.30 | Strength 0.35 | Recency 0.22
...
## Contradictions Requiring Review
### Energy Sector Conflict
- **sector-analyst:** Bearish rotation (SHORT)
- **institutional-flow-tracker:** Heavy buying XLE (LONG)
- **Hint:** Check timeframe mismatch
## Deduplication Summary
- 14 signals merged into 8 unique themes
- Average similarity of merged signals: 0.89Reports are saved to reports/ with filenames:
edge_signal_aggregator_YYYY-MM-DD_HHMMSS.jsonedge_signal_aggregator_YYYY-MM-DD_HHMMSS.mdscripts/aggregate_signals.py -- Main aggregation script with CLI interfacereferences/signal-weighting-framework.md -- Rationale for default weights and scoring methodologyassets/default_weights.yaml -- Default skill weights configuration© tradermonty, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 6 other files (scripts, references, assets) in skills/edge-signal-aggregator of tradermonty/claude-trading-skills.
Open the folder on GitHubat commit c8d58f0
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.
Edge Signal Aggregator 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 |
|---|---|---|---|---|---|---|
| Edge Signal Aggregator this skilltradermonty/claude-trading-skills | 3k | 1 repos | ~1.8k | Automated safety check: Pass | MIT | |
| Question2reportrefraction-ray/xalpha | 2.7k | — | ~3.2k | Automated safety check: Pass | MIT | |
| Dingo VerifyMigoXLab/dingo | 757 | — | ~741 | Automated safety check: Notes | Apache-2.0 | |
| Data Validationplatonai/Browser4 | 1.2k | — | ~896 | Automated safety check: Pass | Apache-2.0 | |
| Pandas ProJeffallan/claude-skills | 12k | 1 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Issues DeduplicationJetBrains/ideavim | 10k | — | ~1.3k | Automated safety check: Pass | MIT |
refraction-ray/xalpha
Turn a natural-language financial question into a polished, self-contained HTML report.
MigoXLab/dingo
A skill your agent uses when the user wants to fact-check an article or verify factual claims in a document.
platonai/Browser4
Validates data against common and custom rules (required fields, formats, ranges).
Jeffallan/claude-skills
Handles pandas DataFrame work: cleaning, merging, groupby aggregation, pivots, time-series resampling and memory tuning, with checks on dtypes, shapes and nulls.
JetBrains/ideavim
Handles deduplication of YouTrack issues. An agent skill from JetBrains/ideavim.
monarchjuno/vibe-investing
Fetch financial, market, economic, fundamental, news, options, crypto, ETF, index, and macro data through the OpenBB Python interface instead of the OpenBB MCP server.
tradermonty/claude-trading-skills
This skill should be used when analyzing weekly price charts for stocks, stock indices, cryptocurrencies, or forex pairs.
tradermonty/claude-trading-skills
Detect and analyze trending market themes across sectors. An agent skill from tradermonty/claude-trading-skills.
tradermonty/claude-trading-skills
Track investment theses across their lifecycle — from screening idea to closed position with postmortem.
tradermonty/claude-trading-skills
Critically review strategy drafts from edge-strategy-designer for edge plausibility, overfitting risk, sample size adequacy, and execution realism.
tradermonty/claude-trading-skills
This skill should be used when analyzing sector rotation patterns and market cycle positioning.
tradermonty/claude-trading-skills
Druckenmiller Strategy Synthesizer - Integrates 8 upstream skill outputs (Market Breadth, Uptrend Analysis, Market Top, Macro Regime, FTD Detector, VCP Screener, Theme Detector, CANSLIM Screener)…
Categories
Aggregate and rank signals from multiple edge-finding skills (edge-candidate-agent, theme-detector, sector-analyst, institutional-flow-tracker) into a prioritized conviction dashboard with weighted…. Edge Signal Aggregator is an agent skill from tradermonty/claude-trading-skills. Aggregate and rank signals from multiple edge-finding skills (edge-candidate-agent, theme-detector, sector-analyst, institutional-flow-tracker) into a prioritized conviction dashboard with weighted scoring, deduplication, and contradiction detection.
Edge Signal Aggregator fits situations like: tasks that involve Data cleaning.
Run `npx skills add tradermonty/claude-trading-skills --skill edge-signal-aggregator -a claude-code`. Or copy the skill folder (skills/edge-signal-aggregator in tradermonty/claude-trading-skills) into .claude/skills/edge-signal-aggregator in your project. Claude Code loads it when a task matches its description.
Run `npx skills add tradermonty/claude-trading-skills --skill edge-signal-aggregator -a codex`. Or copy the skill folder (skills/edge-signal-aggregator in tradermonty/claude-trading-skills) into .agents/skills/edge-signal-aggregator in your project. Codex loads it when a task matches its description.
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 edge-signal-aggregator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/edge-signal-aggregator, .gemini/skills/edge-signal-aggregator, .github/skills/edge-signal-aggregator and .opencode/skills/edge-signal-aggregator in your project.
Going by SKILL.md and its folder, Edge Signal Aggregator needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
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.
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.
Edge Signal Aggregator is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
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 1.7k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Edge Signal Aggregator: Question2report (refraction-ray/xalpha, 2.7k stars), Dingo Verify (MigoXLab/dingo, 757 stars), Data Validation (platonai/Browser4, 1.2k stars) and Pandas Pro (Jeffallan/claude-skills, 12k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.