slope-performance-analysis

slope-performance-analysis is a skill for Claude Code from srbryers/slope. It costs 50 tokens per session (602 once invoked), scanned A, original, MIT.

A guide for interpreting SLOPE project-performance data, including handicap cards, missed outcomes, hazards, and dispersion.

In plain words
What is it for?
Use it to analyze sprint performance, find recurring miss patterns, interpret handicap data, and plan improvements.
Why use it?
It turns performance records into recommendations while accounting for recurring problems and metric-interpretation pitfalls.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Install

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.

agentmods
npx agentmods add skills/srbryers/slope/slope-performance-analysis
Any agent
npx skills add srbryers/slope --skill slope-performance-analysis
Clone the repo
git clone --depth 1 https://github.com/srbryers/slope

Made for: Claude Code.

Wrote 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.

agentmods badge for slope-performance-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/srbryers/slope/slope-performance-analysis.svg)](https://agentmods.dev/skills/srbryers/slope/slope-performance-analysis)
Your own site
<a href="https://agentmods.dev/skills/srbryers/slope/slope-performance-analysis"><img src="https://agentmods.dev/badge/skills/srbryers/slope/slope-performance-analysis.svg" alt="Measured on agentmods" height="20"></a>
Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 602 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00050 $0.00602
Opus 5 $0.00025 $0.00301
Sonnet 5 $0.00010 $0.00120
Haiku 4.5 $0.00005 $0.00060

Measured 5d ago against content hash 03efb7eb87e7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

slope-performance-analysis 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 5d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/analysis-helpers.js), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.claude/skills/slope-performance-analysis/SKILL.md · 65 lines

What it actually says

SLOPE Performance Analysis

Performance analysis agent for SLOPE-managed projects. Interprets handicap cards, miss patterns, hazard data, and dispersion to produce actionable recommendations.

File Map

File Purpose
SKILL.md This file — overview and quick reference metrics
gotchas.md Metric misinterpretation pitfalls and scoring edge cases
references/handicap-anatomy.md Field-by-field card interpretation, rolling stats, trend detection
references/recommendations.md From miss patterns and hazard hotspots to actionable backlog strategies
scripts/analysis-helpers.js execute() snippets for handicap, dispersion, area performance, training plans

Quick Reference — Metric Thresholds

Metric Good Warning Action Needed
Handicap 0-1 2-3 4+
Trend Improving Stable Worsening
Club success rate >90% 70-90% <70%
Miss rate <5% 5-15% >15%
Recurring hazards 0-2 3-5 6+

Key Concepts

  • Handicap — Rolling performance score (lower is better). 0 = consistently hitting par.
  • Dispersion — Distribution of miss directions (long/short/left/right). Dominant direction = systemic issue.
  • Hazard hotspots — Modules with recurring hazards, weighted by recency (0.7 recent, 0.3 historical).
  • Club performance — Success rate per complexity tier. Low rate on a club = that tier has issues.

CLI Commands

Command Purpose
slope card Generate handicap card
slope briefing Pre-sprint performance summary
slope review recommend Check which reviews apply
slope report Generate HTML performance report
slope dashboard Live local performance dashboard

Read gotchas.md for metric interpretation pitfalls. Read references/handicap-anatomy.md for detailed field interpretation.

Files

What ships with it

4 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.

Changes

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.

  1. 5d ago First seen · 65 lines · 50 tokens per session scan A 03efb7eb87e7

Subscribe to this mod's changes

slope-performance-analysis is a skill published in the GitHub repository srbryers/slope (6 stars, last pushed yesterday), licensed MIT. It adds 50 tokens to every session and 602 once invoked, about $0.0003 per session on Opus 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 2026-08-31.

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