skill-feedback

skill-feedback is a skill for Claude Code from bestdeejay-design/agent-skills. It costs 195 tokens per session (1,696 once invoked), scanned A, original, MIT.

A feedback system for reusable agent skills. It records cases where a skill triggers incorrectly, fails to trigger, or produces output that needs correction.

In plain words
What is it for?
Use it after a skill misfires, misses a relevant request, gives a wrong result, or needs repeated user correction.
Why use it?
Skill problems are easier to improve when each real failure is captured as a specific example instead of relying on memory. The records can guide later changes to triggers and instructions.

Skill for Claude Code

Written for Claude Code: when-to-use in frontmatter. Also seen: mentions AGENTS.md; mentions OpenCode.

Good fit Use it after a skill misfires, misses a relevant request, gives a wrong result, or needs repeated user correction.

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

Made for: Claude Code.

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 skill-feedback

README.md
[![agentmods](https://agentmods.dev/badge/skills/bestdeejay-design/agent-skills/skill-feedback.svg)](https://agentmods.dev/skills/bestdeejay-design/agent-skills/skill-feedback)
Your own site
<a href="https://agentmods.dev/skills/bestdeejay-design/agent-skills/skill-feedback"><img src="https://agentmods.dev/badge/skills/bestdeejay-design/agent-skills/skill-feedback.svg" alt="Measured on agentmods" height="20"></a>
Per session 195 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,696 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 $0.00195 $0.01696
Opus 5 $0.00097 $0.00848
Sonnet 5 $0.00039 $0.00339
Haiku 4.5 $0.00019 $0.00170

Measured 8d ago against content hash d2c847395f37, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

skill-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 8d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/feedback.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/skill-feedback/SKILL.md · 132 lines

How it starts

The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill Feedback — capture the fuel for skill improvement

This skill closes the loop opened by docs/SKILL_QUALITY_GATE.md. The Quality Gate tells you whether a skill is good; this skill tells you how to make it better next time by recording what happened in real usage and turning it into a feed for skill-forge.

Without a feedback capture, improvement is guesswork. With it, every near-miss trigger and every manual correction becomes a concrete edit to a skill's description / when_to_use / body.

When to use

  • A skill should have triggered but did not (near-miss): the user's request was in-scope but the auto-load missed it.
  • A skill triggered wrongly: the wrong skill loaded for the request.
  • A skill produced a wrong / broken / low-quality output (output issue).
  • The user manually corrected the skill's output (edited the result, or told you "no, do it differently").
  • You want to review what has piled up before running skill-forge.

DO NOT USE FOR

  • General chat feedback, venting, or notes unrelated to a specific skill — those belong in memory or the session log, not the skill feedback store.
  • Capturing secrets or personal data — never log credentials or PII in entries.

Auto-capture (make it automatic)

For the loop to run without manual nudging, capture feedback proactively. Append the rule from AGENTS_FRAGMENT.md (repo root) to your opencode AGENTS.md. Then any near-miss / manual correction is logged automatically — no explicit "remember this" needed. Each consumer grows their own skills locally; see docs/SKILL_QUALITY_GATE.md Layer C.

How feedback is stored

Each entry is one JSON object on its own line in:

feedback/<skill-name>/YYYY-MM-DD.jsonl

Entry schema:

{
  "ts": "2026-08-26T14:03:00",
  "skill": "api-contract-testing",
  "type": "near_miss_trigger",
  "request": "проверь, что эндпоинты совпадают со спецификацией",
  "detail": "skill did not auto-load; user had to invoke it manually",
  "suggested_fix": "add casual-phrasing trigger 'проверь эндпоинты' to when_to_use",
  "source": "user"
}

Read the full file on GitHub · 132 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. 8d ago First seen · 132 lines · 195 tokens per session scan A d2c847395f37

Subscribe to this mod's changes

skill-feedback is a skill published in the GitHub repository bestdeejay-design/agent-skills (5 stars, last pushed today), licensed MIT. It adds 195 tokens to every session and 1,696 once invoked, about $0.0010 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.