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 varrdinc/varrd --skill varrd-edgesgit clone --depth 1 https://github.com/varrdinc/varrdWrote 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/varrdinc/varrd/varrd-edges)<a href="https://agentmods.dev/skills/varrdinc/varrd/varrd-edges"><img src="https://agentmods.dev/badge/skills/varrdinc/varrd/varrd-edges/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/varrdinc/varrd/varrd-edges"><img src="https://agentmods.dev/badge/skills/varrdinc/varrd/varrd-edges.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00040 | $0.00544 |
| Opus 5.5 | $0.00016 | $0.00218 |
| Sonnet 5.5 | $0.00008 | $0.00109 |
| Haiku 4.5 | $0.00004 | $0.00054 |
Grade A, and why
varrd-edges 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 1mo 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.
What it actually says
VARRD Edges — Browse the Validated Edge Library
What this does
VARRD maintains a library of statistically validated trading edges running 24/7 against live market data. This skill lets you browse which edges are firing, get trade levels, and drill into the full methodology.
Three tiers
Free — which markets are firing
varrd edges
Shows markets and status. No direction, no stats, no trade levels.
$0.50 — 15-minute snapshot with stats + trade levels
varrd edges --depth 1
Direction, win rate, EV, stops, entry date, hold period for every active edge.
$1/edge — full audit trail
varrd edges --depth 2 --edge-id <id>
Complete methodology: formula, discovery story, per-horizon results, SQN, profit factor, Kelly %, Monte Carlo, drawdown, regime analysis, edge decay, and interactive view link.
Filters
varrd edges --depth 1 --direction SHORT # only shorts
varrd edges --depth 1 --asset-class equities # only stocks/ETFs
varrd edges --depth 1 --timeframe 240min # only 4-hour edges
varrd edges --depth 1 --market GC # only gold
varrd edges --depth 1 --status firing # only actionable now
Edge statuses
- FIRING — signal confirmed, enter at next bar open
- PENDING — bar hasn't closed, don't act yet
- ACTIVE — already in a trade from a previous signal
Typical flow
varrd edges— see what's firing (free)- User picks a market they're interested in
varrd edges --depth 1 --market AAPL— get stats ($0.50)- User wants the full picture on one edge
varrd edges --depth 2 --edge-id <id>— full audit trail ($1)- Share the interactive view link with the user
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.
- 1mo ago First seen · 60 lines · 40 tokens per session scan A 8269bdf38625
varrd-edges is a skill published in the GitHub repository varrdinc/varrd (24 stars, last pushed 1mo ago), licensed MIT. It adds 40 tokens to every session and 544 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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