Feedback Analyzer

What it does

When your agent uses it

• Analyzing skill effectiveness
• Understanding usage patterns
• Evaluating toolkit impact based on real usage data

Example prompts

• “/feedback-analyzer”

Requirements

• Pre-approved tools (allowed-tools): Read, Write, Edit, Glob, Grep, Bash, WebSearch, WebFetch

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

1. 1Collect Usage Data - Gather metrics on skill usage and effectiveness
2. 2Measure Effectiveness - Quantify impact and ROI of skills
3. 3Analyze Trends - Identify patterns in usage and effectiveness
4. 4Extract Insights - Generate actionable insights from data

What it can do on your machine

Read from SKILL.md and the folder at commit 000116a. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves these tools, so the agent can use them without asking each time:

  • Read
  • Write
  • Edit
  • Glob
  • Grep
  • Bash
  • WebSearch
  • WebFetch

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  No scripts in the folder and no shell commands in SKILL.md.

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md.

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Feedback Analyzer loads about 1.1k tokens when it runs. Until then it costs about 91 tokens; SKILL.md has 341 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~91

When it runs · the whole SKILL.md, loaded when a task matches

~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

• NotePre-approves every shell command (allowed-tools: Bash)SKILL.md

  allowed-tools: Read, Write, Edit, Glob, Grep, Bash, WebSearch, WebFetch

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from majiayu000/claude-skill-registry at commit 000116a, republished under its MIT licence (© majiayu000). 341 words, ~1,116 tokens.

name

feedback-analyzer

description

Analyze skill effectiveness through usage feedback, metrics analysis, and outcome assessment. Task-based operations for feedback collection, effectiveness measurement, trend analysis, and insight extraction. Use when analyzing skill effectiveness, measuring ROI, understanding usage patterns, or evaluating toolkit impact based on real usage data.

allowed-tools

Read, Write, Edit, Glob, Grep, Bash, WebSearch, WebFetch

Effectiveness Analysis: Development Toolkit
===========================================

Usage Data (Skills 1-23):
- Build times: 2h - 20h (mean: 6.8h)
- Efficiency: 35% - 97% faster than baseline (mean: 85%)
- Quality: 100% pass rate (5/5 structure)

Effectiveness Metrics:
- Time Saved: 392 hours total (85% reduction)
- Quality: Maintained (100% Grade A)
- Completion: 100% (all 23 finished)
- ROI: 392h saved / 68h invested = 576% ROI

Trends:
✅ Improving: Efficiency compounds (72% → 97%)
✅ Stable: Quality consistent (all 5/5)
⚠️ Plateau: Efficiency plateaus ~85-90% for simple skills

Insights:
1. Toolkit highly effective (576% ROI, 85% efficiency)
2. Quality maintained despite speed (100% pass rate)
3. Efficiency plateaus at 85-90% (cannot exceed certain minimum times)
4. Complex skills still benefit (35-50% faster)

Recommendations:
1. Continue using toolkit (proven effective)
2. Expect 85-90% efficiency for simple/medium skills
3. Adjust estimates for complex skills (30-50% faster, not 85%)
4. Focus on quality maintenance (already excellent)

© majiayu000, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/analysis/feedback-analyzer of majiayu000/claude-skill-registry.

• SKILL.md
• metadata.json

Open the folder on GitHubat commit 000116a

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in majiayu000/claude-skill-registry, which our catalogue first saw on October 7, 2026.

• NeverSight/learn-skills.devdata/skills-md/adaptationio/skrillz/feedback-analyzer