common-feedback-reporter

common-feedback-reporter is a skill for Claude Code, Codex from HoangNguyen0403/agent-skills-standard. It costs 63 tokens per session (999 once invoked), scanned A, original, MIT.

A pre-write check that looks for conflicts between planned code changes and the rules in active project skills. It also checks oversized or outdated SKILL.md guidance.

In plain words
What is it for?
Reviewing planned Flutter, Dart, or TypeScript changes and editing skill files while applying project-specific development rules.
Why use it?
It catches rule violations before code or instruction files are written, so problems do not become part of the project.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

Good fit Reviewing planned Flutter, Dart, or TypeScript changes and editing skill files while applying project-specific development rules.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hoangnguyen0403/agent-skills-standard/common-feedback-reporter
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 HoangNguyen0403/agent-skills-standard --skill common-feedback-reporter
Clone the repo
git clone --depth 1 https://github.com/HoangNguyen0403/agent-skills-standard

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 common-feedback-reporter

README.md
[![agentmods](https://agentmods.dev/badge/skills/hoangnguyen0403/agent-skills-standard/common-feedback-reporter/github.svg)](https://agentmods.dev/skills/hoangnguyen0403/agent-skills-standard/common-feedback-reporter)
Your own site
<a href="https://agentmods.dev/skills/hoangnguyen0403/agent-skills-standard/common-feedback-reporter"><img src="https://agentmods.dev/badge/skills/hoangnguyen0403/agent-skills-standard/common-feedback-reporter/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 common-feedback-reporter

Your own site · 80×15
<a href="https://agentmods.dev/skills/hoangnguyen0403/agent-skills-standard/common-feedback-reporter"><img src="https://agentmods.dev/badge/skills/hoangnguyen0403/agent-skills-standard/common-feedback-reporter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 63 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 999 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00063 $0.00999
Opus 5 $0.00032 $0.00500
Sonnet 5 $0.00013 $0.00200
Haiku 4.5 $0.00006 $0.00100

Measured 12d ago against content hash 62bc5913c92f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

common-feedback-reporter 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 12d 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/common/common-feedback-reporter/SKILL.md · 92 lines

How it starts

The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Feedback Reporter

Priority: P0 (CRITICAL) — Auto-detect skill violations before file writes.

Mandatory execution contract

For any request that writes code or edits SKILL.md, treat the requested change as a planned write. Before showing code, run this audit and emit the complete violation block when a loaded skill rule is violated. The block must include these exact labels: SKILL VIOLATION DETECTED, Auto-fixed, Root Cause, User Intent, and Skill Gap. Then apply the fix and show the corrected result. Do not silently produce the violating implementation, and do not replace the required block with a summary.

Apply the same contract to these cases:

  • If a draft SKILL.md exceeds the 100-line limit, report the 100-line violation, move large examples to references/, and include Root Cause, User Intent, and Skill Gap before rewriting it.
  • If a skill recommends an obsolete framework path or API, report OUTDATED_GUIDANCE and include User Intent and Skill Gap before giving the current replacement.

For the oversized-draft case, include this exact sentence pattern before the rewrite: SKILL.md is 100+ lines; extract large examples to references/. Root Cause: ... User Intent: ... Skill Gap: ....

🚨 Checkpoint: Before File Writes

Quick check before write_to_file, replace_file_content, multi_replace_file_content:

  1. Check - Any skills loaded for this file extension?
  • NO → ✅ Proceed silently
  • YES → Continue to step 2
  1. Audit - planned code violate loaded skill rules?
  • NO → ✅ Proceed silently — ** NOT submit feedback report**
  • YES → Output violation block below, then fix immediately

Violation Report Format

When violation detected, output this block before fixing:

🚨 SKILL VIOLATION DETECTED
Skill:        [skill-id]
File:         [relative/path/to/file.ext]:[line-range]
Rule:         [exact rule text from SKILL.md]
Violation:    [what planned code does — up to 5-line offending snippet]
Fix:          [corrected approach — up to 5-line corrected snippet]
Auto-fixed:   YES / NO
Root Cause:   [AMBIGUOUS_RULE | MISSING_COVERAGE | OUTDATED_GUIDANCE | COMPETING_RULES | PATTERN_MISMATCH]
User Intent:  [1 sentence: what the user was trying to achieve]
Skill Gap:    [1–2 sentences: what change to the SKILL.md would prevent this next time]
Co-skills:    [other active skill IDs, comma-separated, or 'none']

Read the full file on GitHub · 92 lines

Files

What ships with it

2 files 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. 12d ago First seen · 92 lines · 63 tokens per session scan A 62bc5913c92f

Subscribe to this mod's changes

common-feedback-reporter is a skill published in the GitHub repository HoangNguyen0403/agent-skills-standard (565 stars, last pushed 3d ago), licensed MIT. It adds 63 tokens to every session and 999 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 2026-08-30.