Borrowing it
Nothing to install: this file belongs to heurist-network/heurist-finance. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/heurist-network/heurist-finance/main/.claude/skills/technical-evidence/SKILL.mdgit clone --depth 1 https://github.com/heurist-network/heurist-financeWrote 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/heurist-network/heurist-finance/technical-evidence)<a href="https://agentmods.dev/skills/heurist-network/heurist-finance/technical-evidence"><img src="https://agentmods.dev/badge/skills/heurist-network/heurist-finance/technical-evidence/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/heurist-network/heurist-finance/technical-evidence"><img src="https://agentmods.dev/badge/skills/heurist-network/heurist-finance/technical-evidence.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 | $0.00092 | $0.01223 |
| Opus 5.5 | $0.00037 | $0.00489 |
| Sonnet 5.5 | $0.00018 | $0.00245 |
| Haiku 4.5 | $0.00009 | $0.00122 |
Grade A, and why
technical-evidence 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.
How it starts
The opening of the file, as written. The whole thing — 43 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Technical Evidence
Shared plumbing and output contract: ../_shared/analyst-core.md. TA's honest job in this stack: timing and risk placement for a thesis that exists on other grounds — and occasionally a standalone signal where the effect is actually documented. (For the operational entry/exit procedure — regime-gated band reads, limit-price ladders, stops — use entry-exit-timing; this skill is the evidence layer beneath it.) This skill's core content is the evidence tiering, because treating folklore and documented effects as one "technical picture" is the signature TA failure.
The evidence tiers
Tier 1 — documented, still-live effects (usable as signal):
- Short-term reversal: ~1-week losers beat winners over the following week (Jegadeesh 1990) — liquid names, fades with size. Implication: don't chase multi-day spikes; buy pullbacks, fade panic days in quality names.
- 52-week-high proximity (George & Hwang): anchoring underreaction near highs, ~0.5%/month effect. New-high lists are a feature, not a warning.
- Momentum 3–12 months — full treatment in
momentum-trend; it's the strongest price-only effect known. - Post-earnings drift — price/volume confirmation of a surprise carries real forward signal (
earnings-play). - Volatility clustering: today's vol predicts tomorrow's (the one universally replicated price fact) — position sizing and stop width should be ATR/realized-vol-scaled, always.
Tier 2 — degraded or conditional (context only, never standalone):
- Moving-average trend rules: genuine in-sample edge on indices pre-1990 (Brock, Lakonishok & LeBaron 1992), largely arbitraged away after publication and costs. Still useful as regime descriptors (above/below 200d changes the return distribution's shape) — not as entry signals.
- RSI(2)-style short-term mean reversion (Connors): worked in specific ETF samples, regime-dependent, dies in trends. Test on the actual asset's recent data before citing (see below).
- Volume confirmation: breakouts on ≥1.5× average volume fail less often — directionally supported, weak alone.
- Classic patterns (head-and-shoulders etc.): mixed academic evidence (Lo, Mamaysky & Wang found some information content; out-of-sample profitability after costs is thin). Descriptive language, not signal.
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 · 43 lines · 92 tokens per session scan A 7e6b71dcbe8f
technical-evidence is a skill published in the GitHub repository heurist-network/heurist-finance (11 stars, last pushed 14d ago), licensed MIT. It adds 92 tokens to every session and 1,223 once invoked, about $0.0004 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 2026-10-24.
technical-evidence compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| technical-evidenceheurist-network/heurist-finance | Skill | 11 | 14d ago | MIT | A | 92 | Claude Code |
| sector-rotationHKUDS/Vibe-Trading | Skill | 38k | yesterday | MIT | A | 39 | Claude Code, Codex |
| twitter-readerhimself65/finance-skills | Skill | 3.5k | 2d ago | MIT | A | 110 | Claude Code |
| strategy-pivot-designertradermonty/claude-trading-skills | Skill | 3.7k | 2d ago | MIT | A | 28 | Claude Code, Codex |
| energy-procurementhashgraph-online/awesome-codex-plugins | Skill | 1.5k | yesterday | Apache-2.0 | A | 93 | Claude Code, Codex |
| airdrop-hunting-guidenirholas/three.ws | Skill | 269 | yesterday | Apache-2.0 | A | 54 | Claude Code, Codex |
| multi-expert-analyzerdigoal/blog | Skill | 8.6k | 2d ago | GPL-2.0 | A | 292 | Codex |