What is limem.feedback?

A command for saving a correction about a previous assistant response as a project lesson. It records what should not be repeated and, when possible, what approach is preferred.

Use it after correcting an assistant's output, especially when the correction should guide future responses in the project.

It helps preserve user feedback so the same mistake is less likely to recur in later work.

limem.feedback — Skill for Claude Code by gaooooosh/limem-agent-plugin

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 gaooooosh/limem-agent-plugin --skill limem.feedback

Clone the repo

git clone --depth 1 https://github.com/gaooooosh/limem-agent-plugin

Made for: Claude Code.

Or install limem, the plugin that ships this one along with the rest of its 13 skills.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/gaooooosh/limem-agent-plugin/limem.feedback/github.svg)](https://agentmods.dev/skills/gaooooosh/limem-agent-plugin/limem.feedback)

Your own site

<a href="https://agentmods.dev/skills/gaooooosh/limem-agent-plugin/limem.feedback"><img src="https://agentmods.dev/badge/skills/gaooooosh/limem-agent-plugin/limem.feedback/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/gaooooosh/limem-agent-plugin/limem.feedback"><img src="https://agentmods.dev/badge/skills/gaooooosh/limem-agent-plugin/limem.feedback.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 257 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.

Model	Per session	Once invoked
Fable 5.1	$0.00059	$0.00257
Opus 5.5	$0.00024	$0.00103
Sonnet 5.5	$0.00012	$0.00051
Haiku 4.5	$0.00006	$0.00026

Measured 2mo ago against content hash 522f082edae6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

limem.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 2mo 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.

plugin-src/skills/limem.feedback/SKILL.md · 23 lines

What it actually says

/limem.feedback — 把"用户对刚才回答的纠正"固化

与 /limem.remember 几乎相同，区别：

mem_type 固定为 "feedback"
默认 scope=project（feedback 通常是项目内的纠正）
模型应在 entities 里至少给出1 个 forbidden 实体（描述"不要这么做的事"），尽量也给 1 个 preferred（"应该改成什么"）

调用 MCP limem_write 时把 mem_type="feedback"、importance=0.85、detail 字段填上 "对上一次回答的纠正" 提示。

调用语法

Claude Code: /limem.feedback <text>
Codex: $limem.feedback <text>

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.

2mo ago First seen · 23 lines · 59 tokens per session scan A 522f082edae6

Subscribe to this mod's changes

limem.feedback is a skill published in the GitHub repository gaooooosh/limem-agent-plugin (2 stars, last pushed 5mo ago), licensed MIT. It adds 59 tokens to every session and 257 once invoked, about $0.0002 per session on Opus 5.5. 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.

Memory and context

limem.feedback next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
limem.feedbackgaooooosh/limem-agent-plugin	Skill	2	5mo ago	MIT	A	59	Claude Code
knowledge-ingestopenclaw/openclaw	Skill	394k	today	MIT	A	80	Claude Code, Codex
mem0-oss-to-platformmem0ai/mem0	Skill	69k	yesterday	Apache-2.0	A	217	Claude Code, Codex
forgetasgeirtj/system_prompts_leaks	Skill	71k	yesterday	CC0-1.0	A	0	Claude Code, Codex
Cortexdanielmiessler/LifeOS	Skill	20k	2d ago	MIT	A	184	Claude Code
ha-data-storesshiwenwen/hope-agent	Skill	1.9k	today	MIT	A	115	Claude Code, Codex
memoryopensquilla/opensquilla	Skill	7.1k	7d ago	Apache-2.0	A	44	Claude Code, Codex