summarize-feedback

summarize-feedback is a skill for Claude Code from davistroy/claude-marketplace. It costs 46 tokens per session (2,799 once invoked), scanned A, original, MIT.

A workflow that collects employee feedback from Notion Voice Captures, summarizes it, and creates a professional Word document assessment.

In plain words
What is it for?
Use it to find feedback for a named employee, combine entries over a chosen date range, and produce a .docx assessment.
Why use it?
It turns scattered feedback notes into a structured document for performance reviews or review preparation.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: names the AskUserQuestion tool.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the personal-plugin plugin — 29 skills, 23 commands, 10 agents, 2 hooks shipped together

Good fit Use it to find feedback for a named employee, combine entries over a chosen date range, and produce a .docx assessment.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add davistroy/claude-marketplace
Claude Code
/plugin install personal-plugin

Made for: Claude Code.

Or install personal-plugin, the plugin that ships this one along with the rest of its 29 skills, 23 commands, 10 agents, 2 hooks.

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 summarize-feedback

README.md
[![agentmods](https://agentmods.dev/badge/skills/davistroy/claude-marketplace/summarize-feedback/github.svg)](https://agentmods.dev/skills/davistroy/claude-marketplace/summarize-feedback)
Your own site
<a href="https://agentmods.dev/skills/davistroy/claude-marketplace/summarize-feedback"><img src="https://agentmods.dev/badge/skills/davistroy/claude-marketplace/summarize-feedback/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.

agentmods 80×15 button for summarize-feedback

Your own site · 80×15
<a href="https://agentmods.dev/skills/davistroy/claude-marketplace/summarize-feedback"><img src="https://agentmods.dev/badge/skills/davistroy/claude-marketplace/summarize-feedback.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,799 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00046 $0.02799
Opus 5.5 $0.00018 $0.01120
Sonnet 5.5 $0.00009 $0.00560
Haiku 4.5 $0.00005 $0.00280

Measured 1mo ago against content hash 667ceafdd85d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

summarize-feedback 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 1mo 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.

plugins/personal-plugin/skills/summarize-feedback/SKILL.md · 329 lines

How it starts

The opening of the file, as written. The whole thing — 329 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are generating a professional employee feedback assessment document. You will query Notion for feedback entries, synthesize them with Claude, and produce a formatted .docx file. The user may provide arguments: $ARGUMENTS

Input Validation

Required Arguments:

  • employee_name="..." - Employee name to match against the "Related To" property in Notion (partial matches supported)

Optional Arguments:

  • days=N - Lookback period in days (default: 365, max: 1095)
  • start_date=YYYY-MM-DD - Override start date (ISO 8601)
  • end_date=YYYY-MM-DD - Override end date (ISO 8601)
  • output_path="..." - Custom output file path (default: ./output/Feedback_Summary_{Name}_{datetime}.docx)

If no employee_name is provided, ask the user for it before proceeding.

Prerequisites Check

Before starting, verify all prerequisites:

1. Notion MCP Server

Verify the Notion MCP tools are available (mcp__plugin_Notion_notion__notion-search, mcp__plugin_Notion_notion__notion-fetch). If not connected:

Notion MCP is not connected. Please verify:
1. Notion MCP is configured in your Claude settings
2. The MCP server is running and connected
3. Your Notion API key has access to the Voice Captures database

2. python-docx Package

python -c "import docx; print('python-docx: OK')" 2>/dev/null || echo "python-docx: MISSING"

If missing, ask the user to install: pip install python-docx>=1.0

Step 1: Compute Date Range

Calculate the assessment period:

  • If start_date and end_date are provided, use those
  • Otherwise: end_date = today, start_date = today minus days parameter (default 365)

Display: Assessment period: {start_date} to {end_date}

Step 2: Query Notion for Feedback Entries

Use the Notion MCP tools to search for feedback entries:

  1. Use mcp__plugin_Notion_notion__notion-search to find pages in the Voice Captures database
  2. Filter results where:
    • Type property equals "Feedback"
    • Related To property contains the employee_name (case-insensitive partial match)
    • Date property falls within the computed date range

Read the full file on GitHub · 329 lines

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. 1mo ago First seen · 329 lines · 46 tokens per session scan A 667ceafdd85d

Subscribe to this mod's changes

summarize-feedback is a skill published in the GitHub repository davistroy/claude-marketplace (5 stars, last pushed 18d ago), licensed MIT. It adds 46 tokens to every session and 2,799 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 2026-09-04.

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