weekly-performance-digest SKILL.md skillA
weekly-performance-digest from tradermonty/claude-trading-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add tradermonty/claude-trading-skills/weekly-performance-digest@git:20260620.6f19585Pins git:20260620.6f19585 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- tradermonty/claude-trading-skills
- Path
skills/weekly-performance-digest/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260620.6f19585, committed Jun 20, 2026
- Size
- 5,725 bytes
- Repository stars
- 3,682
- License
- MIT
Generate a weekly performance summary from closed trader-memory-core theses — win rate, expectancy, profit factor, R-multiple, MAE/MFE, and win/loss pattern analysis by source skill, exit reason, thesis type, sector, and mechanism. No API required; pure local calculation.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Weekly Performance Digest ## Overview Weekly Performance Digest aggregates the trades you closed during a week into a single performance report. It reads CLOSED theses tracked by `trader-memory-core` (`state/theses/th_*.yaml`), computes headline metrics (win rate, expectancy, profit factor, R-multiple, MAE/MFE), breaks results down across several pattern dimensions (source skill, exit reason, thesis type, sector, mechanism tag, screening grade), and surfaces the week's biggest winners, losers, and lessons. Output is a JSON record plus a human-readable Markdown report. Pure calculation — no API key required. ## When to Use - At the end of a trading week to review aggregate realized performance - To measure win rate and expectancy across all closed positions - To see which source skills, exit reasons, sectors, or mechanisms drove wins vs losses - To feed a month-end review (combine four weekly digests) or a postmortem - For a quick "what worked / what didn't" snapshot grounded in real closed trades ## When Not to Use - For a single-trade deep review — use `trade-performance-coach` - For signal-level true/false-positive classification — use `signal-postmortem` …
Read the whole file at its exact version.
How to install
mdr add tradermonty/claude-trading-skills/weekly-performance-digest@sha256:11c98674c88a8ed2The line at the top of this page pins the label git:20260620.6f19585, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_236z5lgxavim4rci)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jun 20, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (5725 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
tradermonty/claude-trading-skills · 3,682 stars · license MIT · pushed 2026-11-07 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_236z5lgxavim4rci GET https://markdownregistry.com/api/v1/resolve?ref=tradermonty/claude-trading-skills/weekly-performance-digest GET https://markdownregistry.com/api/v1/blob/11c98674c88a8ed25529cba06ef7899198cc3e1d33d1d8d2da33f79ea9657149
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.