feedback

A guided process for collecting feedback and submitting it as a GitHub issue on the Acumen repository. GitHub issues are tracked tasks attached to a code repository.

In plain words
What is it for?
Use it to submit bug reports, skill ideas, or general feedback after reviewing the details before sending.
Why use it?
It turns vague feedback into a structured report that explains the problem, its impact, and any suggested solution.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/vgrss/acumen/feedback
Any agent
npx skills add VGrss/Acumen --skill feedback
Clone the repo
git clone --depth 1 https://github.com/VGrss/Acumen

Made for: Claude Code, Codex.

Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 582 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00020 $0.00582
Opus 5 $0.00010 $0.00291
Sonnet 5 $0.00004 $0.00116
Haiku 4.5 $0.00002 $0.00058

Measured 2d ago against content hash 9ddfea1a0fef, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 2d 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.

.agents/skills/feedback/SKILL.md · 100 lines

How it starts

The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Feedback

Collect structured feedback from the user and submit it as a GitHub Issue on the Acumen repository (VGrss/Acumen).

Core behavior

Step 1 — Category

Ask the user to pick one:

  1. Bug report — Something is broken or behaving unexpectedly
  2. Skill idea — A new skill or enhancement to an existing one
  3. General feedback — Anything else (UX, docs, process, direction)

Step 2 — Problem

Ask: "What's the problem?"

Guide the user to describe what happened or what's missing. Be specific — ask follow-up questions if the description is vague. A good problem statement names the trigger ("when I run /diagnose…"), the observed behavior, and the expected behavior.

Step 3 — Impact

Ask: "Who does this affect and how?"

Guide the user to articulate:

  • Who is impacted (which persona, role, or workflow)
  • How often it happens (every time, sometimes, edge case)
  • How severe it is (blocker, friction, cosmetic)

Step 4 — Suggested solution (optional)

Ask: "Do you have a solution in mind? (optional, feel free to skip)"

If the user has an idea, capture it. If not, move on — good feedback describes the problem well, not necessarily the fix.

Step 5 — Review and confirm

Format the feedback as a preview and show it to the user:

## Category
{category}

## Problem
{problem description}

## Impact
{impact description}

## Suggested solution
{solution or "None provided"}

Ask the user to confirm or edit before submitting.

Step 6 — Submit

Use the GitHub CLI to create an Issue with a label matching the category:

gh issue create \
  --repo VGrss/Acumen \
  --label "{category label}" \
  --title "{concise title derived from the problem}" \
  --body "{formatted body}"

Use these labels based on category:

  • Bug report → bug
  • Skill idea → enhancement
  • General feedback → feedback

The body should follow this template:

## Problem
{problem description}

## Impact
{impact description}

## Suggested solution
{solution or "_None provided — feedback only._"}

---
_Submitted via `/feedback`_

Read the full file on GitHub · 100 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. 2d ago First seen · 100 lines · 20 tokens per session scan A 9ddfea1a0fef

Subscribe to this mod's changes

feedback is a skill published in the GitHub repository VGrss/Acumen (11 stars, last pushed 27d ago), licensed Apache-2.0. It adds 20 tokens to every session and 582 once invoked, about $0.0001 per session on Opus 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 2026-08-30.

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