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sprr

An AI agent skill from wilsonfreitas/awesome-quant, scored 80 out of 100 by code and Verified.

80/ 100BVerified

Code score by group

  • Spec20/20
  • Description18/20
  • Procedure12/15
  • Done criteria13/15
  • Resources8/10
  • Scripts2/8
  • Safety7/7
  • Upkeep0/5

It loses the most points in Scripts (6), the group that checks whether scripts are called from the steps and fail with a clear error.

What the author says it does

Single PR reviewer for awesome-quant. Use when the user asks to review, validate, comment on, label, close, or merge one specific pull request that adds README.md entries. Triggers include "sprr", "review PR", "check PR", and "validate contribution".

This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.

Repository
wilsonfreitas/awesome-quant
Folder
.agents/skills/sprr
License
Not identified by GitHub
GitHub stars
30,587
SKILL.md lines
186
Other files
0

Add sprr to your agent

npx skills add wilsonfreitas/awesome-quant --skill sprr

The command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored. GitHub identifies no license for this repository, so check its terms before you use it.

Labelled for

More skills from wilsonfreitas/awesome-quant

  1. bprr

    Bulk PR reviewer for awesome-quant. Use when the user asks to review all open PRs, review unreviewed PRs, bulk review, or mentions "bprr". Reviews open PRs lacking the reviewed la…

    68C
  2. create-entry

    Use when the user wants to suggest, draft, create, or add an awesome-quant README entry from a project URL, GitHub issue, or Linear issue, including choosing tags and category pla…

    63C
  3. update-pypi-dates

    Refresh tracked PyPI last-updated dates in awesome-quant README.md. Use when the user asks to update PyPI dates, refresh PyPI metadata, or run update-pypi-dates.

    60C

All skills in wilsonfreitas/awesome-quant

Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.