Borrowing it
Nothing to install: this file belongs to srbryers/slope. 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/srbryers/slope/main/.claude/skills/slope-performance-analysis/SKILL.mdgit clone --depth 1 https://github.com/srbryers/slopeWrote 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/srbryers/slope/slope-performance-analysis)<a href="https://agentmods.dev/skills/srbryers/slope/slope-performance-analysis"><img src="https://agentmods.dev/badge/skills/srbryers/slope/slope-performance-analysis/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/srbryers/slope/slope-performance-analysis"><img src="https://agentmods.dev/badge/skills/srbryers/slope/slope-performance-analysis.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 | $0.00050 | $0.00602 |
| Opus 5.5 | $0.00020 | $0.00241 |
| Sonnet 5.5 | $0.00010 | $0.00120 |
| Haiku 4.5 | $0.00005 | $0.00060 |
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 2mo 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
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.
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.
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.
- 2mo ago First seen · 65 lines · 50 tokens per session scan A 03efb7eb87e7
slope-performance-analysis is a skill published in the GitHub repository srbryers/slope (6 stars, last pushed 4d ago), licensed MIT. It adds 50 tokens to every session and 602 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 2026-08-31.
slope-performance-analysis compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| slope-performance-analysissrbryers/slope | Skill | 6 | 4d ago | MIT | A | 50 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |