feedback

feedback is a skill for Claude Code, Codex from aneja5/forge-skills. It costs 65 tokens per session (1,885 once invoked), scanned A, original, MIT.

A structured way to record a problem found during implementation, review, security work, scaling work, or an incident and send it back to the earlier project document that needs correction. It keeps the finding pending until that document is updated.

In plain words
What is it for?
Use it when a contract is incomplete, an architecture decision no longer fits, security findings require design changes, or an incident exposes a missing failure case.
Why use it?
It prevents important discoveries from being lost or fixed only in downstream code while the original plan remains wrong.

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/aneja5/forge-skills/feedback
Any agent
npx skills add aneja5/forge-skills --skill feedback
Clone the repo
git clone --depth 1 https://github.com/aneja5/forge-skills

Made for: Claude Code, Codex.

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/aneja5/forge-skills/feedback.svg)](https://agentmods.dev/skills/aneja5/forge-skills/feedback)
Your own site
<a href="https://agentmods.dev/skills/aneja5/forge-skills/feedback"><img src="https://agentmods.dev/badge/skills/aneja5/forge-skills/feedback.svg" alt="Measured on agentmods" height="20"></a>
Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,885 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00065 $0.01885
Opus 5 $0.00032 $0.00942
Sonnet 5 $0.00013 $0.00377
Haiku 4.5 $0.00006 $0.00188

Measured yesterday against content hash 436dfd870297, 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 yesterday.

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 · 143 lines

How it starts

The opening of the file, as written. The whole thing — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Feedback (reverse cascade)

Overview

Capture a finding from any downstream stage into a structured .forge/feedback/<timestamp>-<source>.md entry that targets one upstream artifact. The entry stays as status: PENDING until the upstream skill re-runs and addresses it. forge-sync flags the target artifact as FEEDBACK_PENDING until the entry is resolved.

This is the only sanctioned reverse-cascade primitive. The forward chain (prd → arch → tasks → code) flows one direction; backward propagation happens through these entries, not by directly editing upstream artifacts mid-stream.

When to Use

  • During /build you discover the relevant contract is missing an operation or has the wrong shape
  • During /review you find an architectural flaw that wasn't visible at design time
  • During /secure or /scale you produce a recommendation that implies architecture changes (add a WAF, change a data store, add a gateway)
  • During an incident you discover an error path the error-handling spec didn't cover
  • After a sprint, you realize ≥3 tasks split mid-flight — the plan needs an update before the next sprint

When NOT to Use

  • The fix is fully contained inside the current stage (don't escalate every implementation detail)
  • You have permission to edit the upstream artifact directly and want to do so — then just edit it; forge-sync will flag downstream as STALE
  • The finding is a question, not a recommended change — discuss with the user first; file the entry once a recommendation crystallizes
  • The target artifact doesn't exist (.forge/security.md not yet generated) — run the source skill instead

Common Rationalizations

Thought Reality
"I'll just edit the contract inline" Then the chain has no record of WHY it changed. Future readers see a contract that contradicts the PRD with no explanation.
"Filing a feedback entry is overhead — I'll fix it later" "Later" means the finding is forgotten by the time the upstream skill re-runs. The entry is the memory.
"The upstream skill will figure it out when it re-runs" The upstream skill regenerates from its inputs, not from the downstream's discovery. Without a feedback entry, the regenerated artifact has the same flaw.
"This is too small for a feedback entry" Three small findings ignored = one big surprise at /ship.
"I'll just tell the user verbally" Verbal findings evaporate. The entry survives session boundaries.

Read the full file on GitHub · 143 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. yesterday First seen · 143 lines · 65 tokens per session scan A 436dfd870297

Subscribe to this mod's changes

feedback is a skill published in the GitHub repository aneja5/forge-skills (3 stars, last pushed 3mo ago), licensed MIT. It adds 65 tokens to every session and 1,885 once invoked, about $0.0003 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 2026-09-03.

Related

Other skills, from other repositories

link-ticket-to-session

Link the current Claude Code session to a ticket (Linear, Jira, GitHub Issues, or GitHub Pull Requests) and cache its title/status in karma. Use when the user explicitly asks to link, attach, associate, or connect this session to a ticket, issue, or PR — e.g. "/link-ticket-to-session ABC-123", "link this session to…

JayantDevkar/claude-code-karma · 91 tokens

contribution-workflow

Create or document a contribution workflow for a design system — the multi-stage process for evaluating, accepting, and shepherding new contributions through to publication. Trigger when someone says: how should someone contribute, contribution process, adding a new component, contribution guidelines, what's the…

murphytrueman/design-system-ops · 99 tokens

backlog-generator

Transform audit findings into sprint-ready work items with effort estimates, acceptance criteria, and stakeholder-friendly rationale. This converts existing findings into tickets, NOT the process for contributing new components to the system. Trigger when someone says: generate backlog items, create tickets from…

murphytrueman/design-system-ops · 108 tokens

plan-creation

Create structured implementation plans via a 4-role scrum team (Product Owner, Architect, Eng/Delivery Lead, QA/Critic) with optional Agent Teams peer debate mode.

QBall-Inc/the-bulwark · 38 tokens

raindrop-triage

This skill should be used when the user asks to 'triage unsorted bookmarks', 'clean up raindrop inbox', 'sort unsorted', 'organize bookmarks', 'raindrop triage', 'process bookmark backlog', 'promote triaged bookmarks', 'classify triaged', 'raindrop cleanup', 'deduplicate bookmarks', 'find duplicate bookmarks', 'tag…

voxpelli/vp-claude · 181 tokens

full-pm-cycle

编排从市场研究到上线后分析的完整产品管理周期。用于综合产品规划、0-1 产品开发,或当用户说"完整产品计划"、"完整 PM 周期"、"从研究到上线"时使用。支持 HTML 原型输出格式。采用 Plan-and-Execute 模式,包含完整的阶段定义、状态追踪和质量门控。 Also triggers on: complete product plan, full PM cycle, from research to launch, 0 to 1 product development.

kelegele/oh-my-pm · 111 tokens