feedback

A guided process for turning batches of user feedback into updates to product plans, code, tests, and documentation. It treats business and product requirements as living documents that can change over time.

In plain words
What is it for?
It helps analyze feedback, triage support tickets, update specifications, implement changes, revise tests, and update docs after a product release.
Why use it?
It keeps feedback from being recorded without follow-up by linking each reported issue or request to the relevant implementation and documentation work.

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/voxtechnologies/transmute-framework/feedback
Any agent
npx skills add VoxTechnologies/transmute-framework --skill feedback
Clone the repo
git clone --depth 1 https://github.com/VoxTechnologies/transmute-framework

Made for: Claude Code, Codex.

Per session 88 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,620 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 $0.00088 $0.03620
Opus 5 $0.00044 $0.01810
Sonnet 5 $0.00018 $0.00724
Haiku 4.5 $0.00009 $0.00362

Measured 2d ago against content hash d6771513beb3, 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.

skills/feedback/SKILL.md · 214 lines

How it starts

The opening of the file, as written. The whole thing — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.

User Feedback Loop — Stage 8

Read the detailed guide at ${CLAUDE_SKILL_ROOT}/references/feedback-detailed-guide.md for the complete feedback processing procedures, teammate spawn prompts, triage patterns, and report templates.

Critical Concept: Living Documents

The BRD and PRD are NOT frozen artifacts. They are living documents that evolve with the product. This skill maintains the chain: Feedback -> Spec Update -> Code Change -> Test Update -> Doc Update, ensuring every layer stays consistent.

Prerequisites

  1. Read CLAUDE.md and plancasting/tech-stack.md.
  2. Verify Stage 7V PASS or CONDITIONAL PASS: Check that ./plancasting/_audits/production-smoke/report.md exists and shows PASS or CONDITIONAL PASS. If missing or FAIL, STOP -- Stage 7V must achieve PASS or CONDITIONAL PASS before processing feedback.
  3. Verify ./feedback/input.md exists. If not, stop: "No feedback to process. Create ./feedback/input.md with feedback items before running Stage 8. Schedule Stage 8 after feedback batch is collected."
  4. Input Validation: Verify ./feedback/input.md follows the required structure. Required fields per feedback item: (1) ID (TICKET-001, etc.), (2) Category (Bug / UX Issue / Missing Feature / Enhancement / Performance / Documentation), (3) Description, (4) Affected Feature ID (FEAT-XXX or NEW). If required fields are missing, ask operator to provide them before Phase 1 begins.
  5. Check plancasting/tech-stack.md for the Session Language setting. Generate all reports in the specified language.

Inputs

  • User Feedback: ./feedback/input.md (structured feedback -- see format below)
  • Existing Specs: ./plancasting/brd/, ./plancasting/prd/
  • Tech Stack: ./plancasting/tech-stack.md
  • Codebase: Backend directory, ./src/, ./e2e/ (adapt to your stack)
  • Project Rules: ./CLAUDE.md
  • Progress Tracker: ./plancasting/_progress.md (if exists)
  • User Guide (if exists): ./user-guide/ (Mintlify docs from Stage 7D)
  • Feedback Archive (if exists): ./feedback/archive/ -- review for recurring feedback

Read the full file on GitHub · 214 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 214 lines · 88 tokens per session scan A d6771513beb3

Subscribe to this mod's changes

feedback is a skill published in the GitHub repository VoxTechnologies/transmute-framework (4 stars, last pushed 1mo ago), licensed MIT. It adds 88 tokens to every session and 3,620 once invoked, about $0.0004 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 2026-08-31.