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Agent skill

Feedback Intake

by nimbalyst in nimbalyst/nimbalyst

Help the user file a bug report or feature request for Nimbalyst.

MITAuto-check passedTesting & QA

Install Feedback Intake

skills CLI
$ npx skills add nimbalyst/nimbalyst --skill feedback-intake -a claude-code

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

GitHub CLI
$ gh skill install nimbalyst/nimbalyst feedback-intake --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/nimbalyst/nimbalyst.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/extensions/feedback/claude-plugin/skills/feedback-intake .claude/skills/feedback-intake && 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-intake
GitHub stars
1.9k
Token cost
~757 tokens
SKILL.md length
331 words
Files
1
Skills in repo
14
Repo updated
First seen
Licence
MIT

At a glance

Help the user file a bug report or feature request for Nimbalyst.

  • Works in 5 steps: The user is the gate. Never call… → Anonymize aggressively. Run anything… → Honor the intake flags. Bug-report… → …
  • Opens the in-app feedback flow
  • SKILL.md covers Behavior, Tools available and Important
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Feedback Intake is an agent skill from nimbalyst/nimbalyst. Help the user file a bug report or feature request for Nimbalyst. Activates when the user opens the in-app feedback flow or runs /feedback:bug-report or /feedback:feature-request. Coordinates evidence gathering, anonymization, and posting to GitHub Issues.

Its SKILL.md is about 760 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Testing & QA, covering QA and bug reports. It works with GitHub and Model Context Protocol. The repository describes itself as: Nimbalyst - The open-source visual workspace for Claude Code, Codex, and OpenCode. Run multiple coding agents in parallel, edit their work visually in markdown, mockups, and… The licence is MIT.

When your agent uses it

  • Opens the in-app feedback flow
  • Runs /feedback:bug-report
  • /feedback:feature-request

Example prompts

  • “/feedback-intake”

Workflow steps

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

  1. The user is the gate. Never call mcpnimbalyst-situationalfeedback_open_github_issue without explicit user approval of the final title and…
  2. Anonymize aggressively. Run anything that includes file paths, log content, environment strings, or workspace identifiers through…
  3. Honor the intake flags. Bug-report sessions include Log gathering: allowed or Log gathering: not allowed; feature-request sessions may…
  4. Handle long reports. When the drafted body exceeds the URL safe length, the URL builder returns reason: 'too-long'. Fall back to: show the…
  5. Target repo and templates. Bug reports use bug_report.yml; feature requests use feature_request.yml. Both target nimbalyst/nimbalyst…

What it can do on your machine

Read from SKILL.md and the folder at commit 6f14adf. 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 Intake loads about 757 tokens when it runs. Until then it costs about 68 tokens; SKILL.md has 331 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~68
When it runs · the whole SKILL.md, loaded when a task matches
~757

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 nimbalyst/nimbalyst at commit 6f14adf, republished under its MIT licence (© nimbalyst). 331 words, ~757 tokens.

Download SKILL.mdSave it as .claude/skills/feedback-intake/SKILL.md (or your agent's skills folder).
name
feedback-intake
description
Help the user file a bug report or feature request for Nimbalyst. Activates when the user opens the in-app feedback flow or runs /feedback:bug-report or /feedback:feature-request. Coordinates evidence gathering, anonymization, and posting to GitHub Issues.

Nimbalyst Feedback Skill

This skill is the entry point for the Nimbalyst in-app feedback flow. It activates when:

  • The user runs the /feedback:bug-report slash command
  • The user runs the /feedback:feature-request slash command
  • The user opens a session with sessionType: 'bug-report' or sessionType: 'feature-request'

Behavior

Read the matching command file:

  • For bug reports: commands/bug-report.md in this plugin
  • For feature requests: commands/feature-request.md in this plugin

Both commands share these constraints:

  1. The user is the gate. Never call mcp__nimbalyst-situational__feedback_open_github_issue without explicit user approval of the final title and body.
  2. Anonymize aggressively. Run anything that includes file paths, log content, environment strings, or workspace identifiers through mcp__nimbalyst-situational__feedback_anonymize_text first, then read the output and redact anything else that looks sensitive.
  3. Honor the intake flags. Bug-report sessions include Log gathering: allowed or Log gathering: not allowed; feature-request sessions may include UX mockup: requested or UX mockup: not requested. Only bug reports may read logs, and only when log gathering is allowed.
  4. Handle long reports. When the drafted body exceeds the URL safe length, the URL builder returns reason: 'too-long'. Fall back to: show the body in chat, open a no-body URL, tell the user to paste.
  5. Target repo and templates. Bug reports use bug_report.yml; feature requests use feature_request.yml. Both target nimbalyst/nimbalyst. Don't hardcode the URL — let the URL builder handle template selection and field-id routing. The GitHub issue type (Bug / Feature) and status:needs-triage label come from the template frontmatter, not from the URL builder.

Tools available

  • mcp__nimbalyst-situational__feedback_anonymize_text(text) → returns anonymized string
  • mcp__nimbalyst-situational__feedback_get_environment() → app version, OS, recent error counts
  • mcp__nimbalyst-situational__feedback_open_github_issue({ kind, title, body }) → opens GitHub new-issue page in browser, returns { ok, opened, reason?, url? }
  • mcp__nimbalyst-extension-dev__get_main_process_logs({ lastLines, searchTerm, logLevel, component }) → only with consent
  • mcp__nimbalyst-extension-dev__get_renderer_debug_logs({ lastLines, searchTerm, logLevel }) → only with consent

Important

  • Don't add "generated by AI" or "Co-Authored-By" lines to the issue body.
  • Don't claim the issue was submitted; the user clicks Submit on github.com themselves.
  • If the user pivots from a bug to a feature mid-conversation (or vice versa), say so and switch templates.

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

Files

Just SKILL.md in packages/extensions/feedback/claude-plugin/skills/feedback-intake of nimbalyst/nimbalyst.

Open the folder on GitHubat commit 6f14adf

Compare with similar skills

Feedback Intake 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 Intake compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Feedback Intake this skillnimbalyst/nimbalyst1.9k—~757Automated safety check: PassMIT
GitHub Issuesgithub/awesome-copilot40k2 repos~2.3kAutomated safety check: PassMIT
Testing Course Samplesmicrosoft/ai-agents-for-beginners77k—~1.1kAutomated safety check: NotesMIT
Testing Course Samplesmicrosoft/ai-agents-for-beginners77k—~1.3kAutomated safety check: NotesMIT
Testing Course Samplesmicrosoft/ai-agents-for-beginners77k—~1.3kAutomated safety check: NotesMIT
Testing Course Samplesmicrosoft/ai-agents-for-beginners77k—~1.5kAutomated safety check: NotesMIT

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Works with

Categories

Questions about Feedback Intake

What does Feedback Intake do?

Help the user file a bug report or feature request for Nimbalyst. Feedback Intake is an agent skill from nimbalyst/nimbalyst. Help the user file a bug report or feature request for Nimbalyst.

When should I use Feedback Intake?

Feedback Intake fits situations like: opens the in-app feedback flow; runs /feedback:bug-report; /feedback:feature-request.

How do I install Feedback Intake in Claude Code?

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

How do I install Feedback Intake in Codex?

Run `npx skills add nimbalyst/nimbalyst --skill feedback-intake -a codex`. Or copy the skill folder (packages/extensions/feedback/claude-plugin/skills/feedback-intake in nimbalyst/nimbalyst) into .agents/skills/feedback-intake in your project. Codex loads it when a task matches its description.

Can I use Feedback Intake 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 nimbalyst/nimbalyst --skill feedback-intake -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-intake, .gemini/skills/feedback-intake, .github/skills/feedback-intake and .opencode/skills/feedback-intake in your project.

What does Feedback Intake need to run?

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

Does Feedback Intake 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 Intake 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 Intake use?

Feedback Intake 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 Intake use?

About 757 tokens (SKILL.md is roughly 3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Feedback Intake?

Skills that share tags, products or a category with Feedback Intake: GitHub Issues (github/awesome-copilot, 40k stars), Testing Course Samples (microsoft/ai-agents-for-beginners, 77k stars), Testing Course Samples (microsoft/ai-agents-for-beginners, 77k stars) and Testing Course Samples (microsoft/ai-agents-for-beginners, 77k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Feedback Intake?

nimbalyst (a GitHub organization) maintains it in nimbalyst/nimbalyst, which has 1,850 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on October 8, 2026.

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