Agent skill

Feedback

by suboss87 in suboss87/FDEOps

Assess a field lesson for reuse or product feedback without exposing customer context.

MITAuto-check passedDevOps & Cloud

Install Feedback

skills CLI
$ npx skills add suboss87/FDEOps --skill feedback -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install suboss87/FDEOps feedback --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/suboss87/FDEOps.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/feedback .claude/skills/feedback && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
feedback
GitHub stars
954
Token cost
~349 tokens
SKILL.md length
144 words
Files
5 (incl. references)
Skills in repo
34
Repo updated
First seen
Licence
MIT

At a glance

Assess a field lesson for reuse or product feedback without exposing customer context.

  • Works in 2 steps: Read the task context contract. → Read the method.
  • Recurring deployment lessons
  • SKILL.md covers Purpose and Principles
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Feedback is an agent skill from suboss87/FDEOps. Assess a field lesson for reuse or product feedback without exposing customer context. Use for recurring deployment lessons; distinguish a hypothesis from a validated pattern.

Its SKILL.md is about 350 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `.fde-generated.json`, `agents/openai.yaml` and `references/encode-pattern.md`).

It sits in DevOps & Cloud. The repository describes itself as: Forward deployed engineering skills for AI coding agents. The licence is MIT.

When your agent uses it

  • Recurring deployment lessons
  • Distinguish a hypothesis from a validated pattern

Example prompts

  • “/feedback”

Workflow steps

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

  1. Read the task context contract.
  2. Read the method.

What it can do on your machine

Read from SKILL.md and the folder at commit 64d1d8a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    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 loads about 349 tokens when it runs, and up to ~3.9k if it reads all its reference files. Until then it costs about 46 tokens; SKILL.md has 144 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~46
When it runs · the whole SKILL.md, loaded when a task matches
~349
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.9k

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

Auto-check passed

The automated check found no risky patterns in SKILL.md.

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 suboss87/FDEOps at commit 64d1d8a, republished under its MIT licence (© suboss87). 144 words, ~349 tokens.

Download SKILL.mdSave it as .claude/skills/feedback/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
feedback
description
Assess a field lesson for reuse or product feedback without exposing customer context. Use for recurring deployment lessons; distinguish a hypothesis from a validated pattern.

feedback

<!-- Generated by bin/generate-skills.js; edit the canonical references and catalog. -->

Purpose

A reusable field lesson with evidence and privacy boundaries.

Before investigating or acting:

  1. Read the task context contract.
  2. Read the method.

Load further references only when the task needs them. Everything linked is included in this skill; no other skill pack is required.

Principles

  • Work directly from the supplied permitted context. Standalone work does not require an engagement folder or initialization. Record filenames in the method are optional persistence destinations when no engagement is bound.
  • If called by @fde, reuse its current sanitized packet and scope. Do not restart setup, discovery or questions already answered.
  • The task context contract controls persistence and authority in both modes. Preserve unknowns and distinguish implementation, verification, deployment and acceptance.
  • Use the customer's repository instructions and available tools. Report a missing capability or unrun check honestly; do not claim that installing a skill provisions infrastructure.

© suboss87, 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 4 other files (references) in skills/feedback of suboss87/FDEOps.

  • SKILL.md
  • .fde-generated.json
  • agents/openai.yaml
  • references/encode-pattern.md
  • references/task-context.md

Open the folder on GitHubat commit 64d1d8a

Compare with similar skills

Feedback next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Feedback compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Feedback this skillsuboss87/FDEOps954—~349Automated safety check: PassMIT
Monitor CInrwl/nx29k6 repos~4.7kAutomated safety check: PassMIT
Terraform and OpenTofu Guideagentscope-ai/QwenPaw35k6 repos~4.2kAutomated safety check: PassApache-2.0
Vercel Optimize Auditvercel-labs/agent-skills32k9 repos~4.3kAutomated safety check: PassNone
Openclaw Live Updateropenclaw/openclaw392k—~3.7kAutomated safety check: PassMIT
Analyze GitHub Action Logswithastro/astro63k1 repos~1.3kAutomated safety check: PassCustom licence

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More from suboss87/FDEOps

All 34 skills in this repo
  • Fde

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    Keeps the engagement record for client work. An agent skill from suboss87/FDEOps.

    954 GitHub stars~2.9k tokensUpdated today
    Auto-check passed
  • Audit

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    Audit an inherited engagement or implementation against its evidence.

    954 GitHub stars~341 tokensUpdated today
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  • Board Memo

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    Draft a board or executive summary of an engagement using outcomes, risks and investment decisions.

    954 GitHub stars~343 tokensUpdated today
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  • Brief

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    Clarify a new customer brief, desired outcome, constraints and evidence gaps.

    954 GitHub stars~339 tokensUpdated today
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  • Business Case

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    Develop a business case for an initiative using costs, benefits, risks and evidence.

    954 GitHub stars~343 tokensUpdated today
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  • Connect

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    Configure or diagnose access to a requested source using available host tools.

    954 GitHub stars~354 tokensUpdated today
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Categories

Questions about Feedback

What does Feedback do?

Assess a field lesson for reuse or product feedback without exposing customer context. Feedback is an agent skill from suboss87/FDEOps. Assess a field lesson for reuse or product feedback without exposing customer context.

When should I use Feedback?

Feedback fits situations like: recurring deployment lessons; distinguish a hypothesis from a validated pattern.

How do I install Feedback in Claude Code?

Run `npx skills add suboss87/FDEOps --skill feedback -a claude-code`. Or copy the skill folder (skills/feedback in suboss87/FDEOps) into .claude/skills/feedback in your project. Claude Code loads it when a task matches its description.

How do I install Feedback in Codex?

Run `npx skills add suboss87/FDEOps --skill feedback -a codex`. Or copy the skill folder (skills/feedback in suboss87/FDEOps) into .agents/skills/feedback in your project. Codex loads it when a task matches its description.

Can I use Feedback in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add suboss87/FDEOps --skill feedback -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/feedback, .gemini/skills/feedback, .github/skills/feedback and .opencode/skills/feedback in your project.

What does Feedback need to run?

SKILL.md names no scripts, command-line tools or credentials: Feedback is instructions for the agent only.

Does Feedback access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Feedback safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Feedback use?

Feedback is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Feedback use?

About 349 tokens (SKILL.md is roughly 1.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.6k tokens, read only when the agent opens those files.

What are the alternatives to Feedback?

Skills that share tags, products or a category with Feedback: Monitor CI (nrwl/nx, 29k stars), Terraform and OpenTofu Guide (agentscope-ai/QwenPaw, 35k stars), Vercel Optimize Audit (vercel-labs/agent-skills, 32k stars) and Openclaw Live Updater (openclaw/openclaw, 392k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Feedback?

suboss87 (a GitHub user) maintains it in suboss87/FDEOps, which has 954 GitHub stars. The repository holds 34 skills in this directory. The repository was last updated on October 8, 2026.

Source: suboss87/FDEOps on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.