Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add BaggaT236/AI-Trading-Skills --skill edge-concept-synthesizergit clone --depth 1 https://github.com/BaggaT236/AI-Trading-SkillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/baggat236/ai-trading-skills/edge-concept-synthesizer)<a href="https://agentmods.dev/skills/baggat236/ai-trading-skills/edge-concept-synthesizer"><img src="https://agentmods.dev/badge/skills/baggat236/ai-trading-skills/edge-concept-synthesizer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/baggat236/ai-trading-skills/edge-concept-synthesizer"><img src="https://agentmods.dev/badge/skills/baggat236/ai-trading-skills/edge-concept-synthesizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00033 | $0.00600 |
| Opus 5 | $0.00016 | $0.00300 |
| Sonnet 5 | $0.00007 | $0.00120 |
| Haiku 4.5 | $0.00003 | $0.00060 |
Grade A, and why
edge-concept-synthesizer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to edge-concept-synthesizer — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Edge Concept Synthesizer
Overview
Create an abstraction layer between detection and strategy implementation.
This skill clusters ticket evidence, summarizes recurring conditions, and outputs edge_concepts.yaml with explicit thesis and invalidation logic.
When to Use
- You have many raw tickets and need mechanism-level structure.
- You want to avoid direct ticket-to-strategy overfitting.
- You need concept-level review before strategy drafting.
Prerequisites
- Python 3.9+
PyYAML- Ticket YAML directory from detector output (
tickets/exportable,tickets/research_only) - Optional
hints.yaml
Output
edge_concepts.yamlcontaining:- concept clusters
- support statistics
- abstract thesis
- invalidation signals
- export readiness flag
Workflow
- Collect ticket YAML files from auto-detection output.
- Optionally provide
hints.yamlfor context matching. - Run
scripts/synthesize_edge_concepts.py. - Deduplicate concepts: merge same-hypothesis concepts with overlapping conditions (containment > threshold).
- Review concepts and promote only high-support concepts into strategy drafting.
Quick Commands
python3 skills/edge-concept-synthesizer/scripts/synthesize_edge_concepts.py \
--tickets-dir /tmp/edge-auto/tickets \
--hints /tmp/edge-hints/hints.yaml \
--output /tmp/edge-concepts/edge_concepts.yaml \
--min-ticket-support 2
# With hint promotion and synthetic cap
python3 skills/edge-concept-synthesizer/scripts/synthesize_edge_concepts.py \
--tickets-dir /tmp/edge-auto/tickets \
--hints /tmp/edge-hints/hints.yaml \
--output /tmp/edge-concepts/edge_concepts.yaml \
--promote-hints \
--max-synthetic-ratio 1.5
# With custom dedup threshold (or disable dedup)
python3 skills/edge-concept-synthesizer/scripts/synthesize_edge_concepts.py \
--tickets-dir /tmp/edge-auto/tickets \
--output /tmp/edge-concepts/edge_concepts.yaml \
--overlap-threshold 0.6
python3 skills/edge-concept-synthesizer/scripts/synthesize_edge_concepts.py \
--tickets-dir /tmp/edge-auto/tickets \
--output /tmp/edge-concepts/edge_concepts.yaml \
--no-dedup
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 13d ago First seen · 76 lines · 33 tokens per session scan A 886f8d94353f
edge-concept-synthesizer is a skill published in the GitHub repository BaggaT236/AI-Trading-Skills (121 stars, last pushed 9d ago), licensed MIT. It adds 33 tokens to every session and 600 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to edge-concept-synthesizer, differing in 0 lines, and is treated as a copy.
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