Dogfood Exploratory QA
vercel-labs/agent-browser
Explores a web app with the agent-browser CLI to find bugs and UX problems, then writes a report with screenshots, repro videos and step-by-step reproduction for each issue.
Submits user-approved product feedback and bug reports about Letta Code to the Letta team.
$ npx skills add letta-ai/letta-code --skill submitting-feedback -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install letta-ai/letta-code submitting-feedback --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/letta-ai/letta-code.git skills-src && mkdir -p .claude/skills && cp -r skills-src/src/skills/builtin/submitting-feedback .claude/skills/submitting-feedback && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "submitting-feedback" agent skill from https://github.com/letta-ai/letta-code/tree/main/src/skills/builtin/submitting-feedback into .claude/skills/submitting-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "submitting-feedback", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/letta-ai/letta-code/tree/main/src/skills/builtin/submitting-feedbackType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add letta-ai/letta-code --skill submitting-feedback -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install letta-ai/letta-code submitting-feedback --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/letta-ai/letta-code.git skills-src && mkdir -p .agents/skills && cp -r skills-src/src/skills/builtin/submitting-feedback .agents/skills/submitting-feedback && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "submitting-feedback" agent skill from https://github.com/letta-ai/letta-code/tree/main/src/skills/builtin/submitting-feedback into .agents/skills/submitting-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "submitting-feedback", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add letta-ai/letta-code --skill submitting-feedback -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install letta-ai/letta-code submitting-feedback --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/letta-ai/letta-code.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/src/skills/builtin/submitting-feedback .cursor/skills/submitting-feedback && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "submitting-feedback" agent skill from https://github.com/letta-ai/letta-code/tree/main/src/skills/builtin/submitting-feedback into .cursor/skills/submitting-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "submitting-feedback", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/letta-ai/letta-code.git --path src/skills/builtin/submitting-feedback--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add letta-ai/letta-code --skill submitting-feedback -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install letta-ai/letta-code submitting-feedback --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/letta-ai/letta-code.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/src/skills/builtin/submitting-feedback .gemini/skills/submitting-feedback && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "submitting-feedback" agent skill from https://github.com/letta-ai/letta-code/tree/main/src/skills/builtin/submitting-feedback into .gemini/skills/submitting-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "submitting-feedback", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install letta-ai/letta-code submitting-feedbackInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add letta-ai/letta-code --skill submitting-feedback -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/letta-ai/letta-code.git skills-src && mkdir -p .github/skills && cp -r skills-src/src/skills/builtin/submitting-feedback .github/skills/submitting-feedback && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "submitting-feedback" agent skill from https://github.com/letta-ai/letta-code/tree/main/src/skills/builtin/submitting-feedback into .github/skills/submitting-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "submitting-feedback", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add letta-ai/letta-code --skill submitting-feedback -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install letta-ai/letta-code submitting-feedback --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/letta-ai/letta-code.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/src/skills/builtin/submitting-feedback .opencode/skills/submitting-feedback && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "submitting-feedback" agent skill from https://github.com/letta-ai/letta-code/tree/main/src/skills/builtin/submitting-feedback into .opencode/skills/submitting-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "submitting-feedback", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
submitting-feedbackSubmits user-approved product feedback and bug reports about Letta Code to the Letta team.
Submitting Feedback is an agent skill from letta-ai/letta-code. Submits user-approved product feedback and bug reports about Letta Code to the Letta team. Load when the user reports a Letta Code bug, requests a product or developer change, or explicitly asks to send feedback. Do not load for corrections to the current agent's behavior or preferences; those are memory edits. Works with cloud-hosted and local agents. Ask before submitting unless the user already explicitly requested submission.
Its SKILL.md is about 740 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Testing & QA, covering QA and bug reports. It works with Letta. The repository describes itself as: Stateful agents that are like people, with memory, identity, and the ability to learn and adapt. The licence is Apache-2.0.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 253a3bc. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Submitting Feedback loads about 739 tokens when it runs. Until then it costs about 113 tokens; SKILL.md has 368 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from letta-ai/letta-code at commit 253a3bc, republished under its Apache-2.0 licence (© letta-ai). 368 words, ~739 tokens.
.claude/skills/submitting-feedback/SKILL.md (or your agent's skills folder).Use this skill for product and developer feedback about Letta Code: reproducible bugs, broken features, confusing product behavior, and requested changes to the software or its developer-facing behavior.
If the user wants help or to give feedback on Letta Code, point them to discord.gg/letta or https://github.com/letta-ai/letta-code/issues.
Do not use this skill when the user corrects how the current agent should behave, communicate, remember, or work with them. Treat that as learning: make the appropriate memory edit so the correction changes the agent's future behavior. A user's frustration with the agent is not by itself product feedback and is not a reason to offer feedback submission.
If the user says yes, or directly asks you to submit feedback:
Gather the relevant context already available in the conversation and environment. If a detail essential to understanding or reproducing the problem is missing, ask the user one focused question before submitting. Do not invent missing details.
Write a concise, factual report in your own voice as the agent. Do not impersonate the user or make the report sound user-authored. The first line must disclose: Agent-submitted feedback on behalf of the user.
Include:
user not identified).Prefer specific nouns and observable behavior over generic judgments. Do not submit context-free summaries such as “the feature is broken,” “the UX should be improved,” or polished product-language filler. Keep unknowns explicit rather than guessing.
Submit it with:
letta feedback --message '<feedback>'Do not include secrets, credentials, unrelated conversation content, or private file contents. The command adds the current agent and conversation identifiers so the team can find the relevant run.
© letta-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in src/skills/builtin/submitting-feedback of letta-ai/letta-code.
Open the folder on GitHubat commit 253a3bc
Submitting Feedback next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Submitting Feedback this skillletta-ai/letta-code | 3.6k | — | ~739 | Automated safety check: Pass | Apache-2.0 | |
| Dogfood Exploratory QAvercel-labs/agent-browser | 44k | 8 repos | ~2.7k | Automated safety check: Pass | Apache-2.0 | |
| DeerFlow Smoke Testbytedance/deer-flow | 84k | — | ~2.5k | Automated safety check: Notes | MIT | |
| CodexBar Live QAsteipete/CodexBar | 22k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Diagnose Playwright Failure as Product Bugappsmithorg/appsmith | 41k | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | |
| Acceptance Evidence for Deliverieslobehub/lobehub | 83k | — | ~9.7k | Automated safety check: Pass | Apache-2.0 |
vercel-labs/agent-browser
Explores a web app with the agent-browser CLI to find bugs and UX problems, then writes a report with screenshots, repro videos and step-by-step reproduction for each issue.
bytedance/deer-flow
Walks through an end-to-end smoke test of a DeerFlow deployment: pull the latest code, deploy with Docker or locally, verify services, run health checks and write a report.
steipete/CodexBar
Runs live QA for the CodexBar app: provider usage matrix checks through its packaged CLI, config validation and menu checks, with 1Password-backed credentials handled safely.
appsmithorg/appsmith
Investigates a stubbornly failing Playwright test as a possible product bug, using error output, screenshots, traces and server code, and writes a structured bug report.
lobehub/lobehub
Verifies a delivery end to end by driving the real product on a CLI, web, desktop or iOS Simulator surface, capturing evidence and publishing a round with the lh CLI.
code-yeongyu/oh-my-openagent
Tests the omo Codex plugin in an isolated CODEX_HOME with a local mock model, proving hooks fired through app-server notifications without touching ~/.codex.
letta-ai/letta-code
Guide for creating effective skills. An agent skill from letta-ai/letta-code.
letta-ai/letta-code
Generates and reviews mod learning env JSON files for Letta Code local mods.
letta-ai/letta-code
Comprehensive guide for initializing or reorganizing agent memory.
letta-ai/letta-code
Inspect or modify Letta Code's own memory, model, context window, system prompt, compaction, permissions, toolsets, mods, skills, channels, schedules, agent secrets, and local runtime settings.
letta-ai/letta-code
Control a real browser to navigate pages, click, type, fill forms, inspect rendered UI, take screenshots, or record video.
letta-ai/letta-code
Creates and edits trusted local Letta Code mods, including tools, slash commands, local-only model providers, lifecycle/turn events, scoped conversation helpers, panels, and capability-gated behavior.
Works with
Categories
Submits user-approved product feedback and bug reports about Letta Code to the Letta team. Submitting Feedback is an agent skill from letta-ai/letta-code. Submits user-approved product feedback and bug reports about Letta Code to the Letta team.
Submitting Feedback fits situations like: reports a Letta Code bug; requests a product; developer change; explicitly asks to send feedback.
Run `npx skills add letta-ai/letta-code --skill submitting-feedback -a claude-code`. Or copy the skill folder (src/skills/builtin/submitting-feedback in letta-ai/letta-code) into .claude/skills/submitting-feedback in your project. Claude Code loads it when a task matches its description.
Run `npx skills add letta-ai/letta-code --skill submitting-feedback -a codex`. Or copy the skill folder (src/skills/builtin/submitting-feedback in letta-ai/letta-code) into .agents/skills/submitting-feedback in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add letta-ai/letta-code --skill submitting-feedback -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/submitting-feedback, .gemini/skills/submitting-feedback, .github/skills/submitting-feedback and .opencode/skills/submitting-feedback in your project.
SKILL.md names no scripts, command-line tools or credentials: Submitting Feedback is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Submitting Feedback is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 739 tokens (SKILL.md is roughly 3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Submitting Feedback: Dogfood Exploratory QA (vercel-labs/agent-browser, 44k stars), DeerFlow Smoke Test (bytedance/deer-flow, 84k stars), CodexBar Live QA (steipete/CodexBar, 22k stars) and Diagnose Playwright Failure as Product Bug (appsmithorg/appsmith, 41k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
letta-ai (a GitHub organization) maintains it in letta-ai/letta-code, which has 3,552 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on October 9, 2026.
Source: letta-ai/letta-code on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.