feedback

feedback is a skill for Claude Code from benskamps/career-compass-mcp. It costs 48 tokens per session (850 once invoked), scanned A, original, MIT.

A feedback-reporting helper for Career Compass, a career-planning product. It turns a user's description of a problem into a short, anonymised public GitHub issue and shows the complete draft before anything is sent.

In plain words
What is it for?
Use it when Career Compass gives incorrect information or could work better. It asks for the missing details, drafts the report, and provides a link for the user to submit.
Why use it?
Product feedback can accidentally include names, employers, contact details, or copied private text. This removes those personal details and keeps sending under the user's control.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: mentions Claude Code.

Part of the career-compass plugin — 11 skills, 1 MCP server shipped together

Good fit Use it when Career Compass gives incorrect information or could work better. It asks for the missing details, drafts the report, and provides a link for the user to submit.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/benskamps/career-compass-mcp/feedback
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add benskamps/career-compass-mcp --skill feedback
Clone the repo
git clone --depth 1 https://github.com/benskamps/career-compass-mcp

Made for: Claude Code.

Or install career-compass, the plugin that ships this one along with the rest of its 11 skills, 1 MCP server.

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 feedback

README.md
[![agentmods](https://agentmods.dev/badge/skills/benskamps/career-compass-mcp/feedback/github.svg)](https://agentmods.dev/skills/benskamps/career-compass-mcp/feedback)
Your own site
<a href="https://agentmods.dev/skills/benskamps/career-compass-mcp/feedback"><img src="https://agentmods.dev/badge/skills/benskamps/career-compass-mcp/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 feedback

Your own site · 80×15
<a href="https://agentmods.dev/skills/benskamps/career-compass-mcp/feedback"><img src="https://agentmods.dev/badge/skills/benskamps/career-compass-mcp/feedback.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 850 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 $0.00048 $0.00850
Opus 5.5 $0.00019 $0.00340
Sonnet 5.5 $0.00010 $0.00170
Haiku 4.5 $0.00005 $0.00085

Measured 15d ago against content hash 1ba723eb7068, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

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 15d 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.

plugin/skills/feedback/SKILL.md · 55 lines

What it actually says

The user wants to report something Career Compass got wrong or could do better. Career Compass has no telemetry, so this report is the only way its maker hears about it. What they said is below.

  1. Know what happened. Use what they said and, when it happened in this conversation, what you can see of it. If you can't tell what went wrong, ask one thing: "What did it say, and what should it have said?" That is the whole reply.
  2. Draft the report in general terms. It will be a public GitHub issue, so it carries no one's identity:
    • No names, emails, phone numbers, addresses, links to their profiles, or salary figures.
    • No employer, school, client or product names, theirs or the posting's. Describe them instead: "a mid-size insurer", "a senior data role at a fintech", "a state university".
    • No pasted résumé, posting, email or card text. Paraphrase the part that matters ("it said I had no SQL; my résumé lists SQL under Skills"). The draft has four parts:
    • Where: claude.ai chat (web, desktop or mobile), Cowork, Claude Code, another MCP app, or "Not sure". Only what they said; never guess it.
    • What went wrong: the one closest option from this list, word for word: "The verdict was wrong (strong fit / stretch / long shot)", "It missed something I have, or said I lack something I have", "It said something about me that isn't true", "The gaps or advice weren't useful", "It asked too many questions, or the wrong one", "A draft (résumé, cover letter, reply) was off", "A role search listed bad, dead or made-up postings", "It forgot something, or the Career Compass card was wrong", "It talked about setup or tools I don't have", "Something else".
    • Details: what they asked for, what it said, and what it should have said, in three to six plain lines. Only what they told you or what you can see: no theories about why it went wrong, no numbers you worked out, and no metrics from their résumé (say "a high-volume event pipeline", not its throughput).
    • Version: with the Career Compass tools, the version check_setup reports; else leave it out.
  3. Show it, then the link. Show the whole draft in one code block, then one line: "This is everything the report says. Change anything you like, then open https://github.com/benskamps/career-compass-mcp/issues/new?template=fit-check-wrong.yml, pick the matching options, paste the details into the box and press Submit (you'll need a free GitHub account). Nothing is sent unless you send it." Give the link exactly as written, with nothing added to it. They can also say it in Discussions instead.
  4. Fix it now if you can. If what went wrong happened in this conversation and you can see the right answer, give the corrected version after the link, in a line or two, or offer to redo it.

Don't open the link, submit, or post anything for them, and never add a detail they didn't give. If they'd rather not use GitHub, give the draft alone and stop.

$ARGUMENTS

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. 15d ago First seen · 55 lines · 48 tokens per session scan A 1ba723eb7068

Subscribe to this mod's changes

feedback is a skill published in the GitHub repository benskamps/career-compass-mcp (6 stars, last pushed 3d ago), licensed MIT. It adds 48 tokens to every session and 850 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 2026-10-13.

Related

Other skills, from other repositories

kochab

Kochab, a personalized resume-based job-search assistant that runs a recurring scan and everything downstream of it. Use when the user wants to start or run a job search, shares a resume, or says "set up my job scan," "find roles that fit my resume," or "what should I apply to." Also use to tailor a resume, draft a…

btmoriarty/kochab · 211 tokens

interviewing

Use when the user gets an interview invitation, moves into an interview process, wants to track interview stages, capture post-interview notes, draft follow-up messages, or update an application to interviewing.

Remotivated/job-hunt-skills · 43 tokens

get-started

Use when the user is new to Job Hunt Skills and wants to see what it does or set up their workspace — including "I'm new to Job Hunt Skills", "help me get started", "set me up", "first time using this", "here's my resume, tailor it for this job", "can you look at my resume", pasting a resume and a job posting…

Remotivated/job-hunt-skills · 132 tokens

Job Description Analyzer

Analyze job postings, calculate match scores, identify gaps, and create application strategy.

PramodDutta/qaskills · 19 tokens

yc-job-tracker

Track and filter YC startup job listings for AI/ML engineering roles. Builds a daily-refreshed local database of relevant jobs with scoring and alerts for new postings.

chandrudp29/skillhub · 38 tokens

Application Form Filler

Fill out job application form fields with context-aware, tailored answers drawn from the candidate's CV and the job description.

PramodDutta/qaskills · 27 tokens