Growth Log
affaan-m/ECC
Write growth log entries that extract reusable patterns from completed work — root cause, transferable rule, and a recognizable signal — instead of diary-style event narration, with a 4-8 sentence…
Expert at analyzing the quality of Claude's responses and outputs.
Install Analyzing Response Quality
$ npx skills add aiskillstore/marketplace --skill analyzing-response-quality -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aiskillstore/marketplace analyzing-response-quality --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/aiskillstore/marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/c0ntr0lledcha0s/analyzing-response-quality .claude/skills/analyzing-response-quality && 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 "analyzing-response-quality" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/c0ntr0lledcha0s/analyzing-response-quality into .claude/skills/analyzing-response-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-response-quality", 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/aiskillstore/marketplace/tree/main/skills/c0ntr0lledcha0s/analyzing-response-qualityType 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 aiskillstore/marketplace --skill analyzing-response-quality -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aiskillstore/marketplace analyzing-response-quality --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/c0ntr0lledcha0s/analyzing-response-quality .agents/skills/analyzing-response-quality && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "analyzing-response-quality" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/c0ntr0lledcha0s/analyzing-response-quality into .agents/skills/analyzing-response-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-response-quality", 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 aiskillstore/marketplace --skill analyzing-response-quality -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aiskillstore/marketplace analyzing-response-quality --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/c0ntr0lledcha0s/analyzing-response-quality .cursor/skills/analyzing-response-quality && 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 "analyzing-response-quality" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/c0ntr0lledcha0s/analyzing-response-quality into .cursor/skills/analyzing-response-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-response-quality", 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/aiskillstore/marketplace.git --path skills/c0ntr0lledcha0s/analyzing-response-quality--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 aiskillstore/marketplace --skill analyzing-response-quality -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aiskillstore/marketplace analyzing-response-quality --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/c0ntr0lledcha0s/analyzing-response-quality .gemini/skills/analyzing-response-quality && 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 "analyzing-response-quality" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/c0ntr0lledcha0s/analyzing-response-quality into .gemini/skills/analyzing-response-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-response-quality", 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 aiskillstore/marketplace analyzing-response-qualityInstalls 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 aiskillstore/marketplace --skill analyzing-response-quality -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/c0ntr0lledcha0s/analyzing-response-quality .github/skills/analyzing-response-quality && 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 "analyzing-response-quality" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/c0ntr0lledcha0s/analyzing-response-quality into .github/skills/analyzing-response-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-response-quality", 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 aiskillstore/marketplace --skill analyzing-response-quality -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aiskillstore/marketplace analyzing-response-quality --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/c0ntr0lledcha0s/analyzing-response-quality .opencode/skills/analyzing-response-quality && 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 "analyzing-response-quality" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/c0ntr0lledcha0s/analyzing-response-quality into .opencode/skills/analyzing-response-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-response-quality", 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.
Facts
- Skill name
analyzing-response-quality- GitHub stars
- 430
- Token cost
- ~3.1k tokens
- SKILL.md length
- 938 words
- Files
- 5 (incl. scripts)
- Skills in repo
- 1,044
- Repo updated
- First seen
- Licence
- None found
At a glance
Expert at analyzing the quality of Claude's responses and outputs.
- Works in 11 steps: Correctness (Is it right?) → Completeness (Is it thorough?) → Clarity (Is it understandable?) → …
- Evaluating response completeness
- SKILL.md covers Your Expertise, When to Use This Skill, Quality Dimensions and Quality Evaluation Framework, plus 4 more sections
- Runs Python scripts from its folder; calls python
What it does
Analyzing Response Quality is an agent skill from aiskillstore/marketplace. Expert at analyzing the quality of Claude's responses and outputs. Use when evaluating response completeness, accuracy, clarity, or effectiveness. Auto-invokes during self-reflection or when quality assessment is needed.
Its SKILL.md is about 3.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts (for example `scripts/check-code-quality.py`, `scripts/check-completeness.py` and `scripts/check-security.py`).
It sits in Development, covering Journaling and reflection. The repository describes itself as: Security-audited skills for Claude, Codex & Claude Code. One-click install, quality verified.
When your agent uses it
- Evaluating response completeness
- Tasks that involve Journaling and reflection
Example prompts
- “/analyzing-response-quality”
Requirements
- Python 3
- Pre-approved tools (allowed-tools): Read, Grep, Glob
Workflow steps
11 steps, taken from the step headings in SKILL.md.
- Correctness (Is it right?)
- Completeness (Is it thorough?)
- Clarity (Is it understandable?)
- Efficiency (Is it optimal?)
- Security (Is it safe?)
- Usability (Can it be used easily?)
- Requirement Mapping
- Output Inventory
- Quality Scoring
- Issue Detection
- Gap Analysis
What it can do on your machine
Read from SKILL.md and the folder at commit 755bc35. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
ReadGrepGlob
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 3 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Analyzing Response Quality loads about 3.1k tokens when it runs. Until then it costs about 62 tokens; SKILL.md has 938 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.
Safety
Auto-check passed
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); the scripts in this folder are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 938 words (~3,117 tokens).
“You are an expert at analyzing the quality of Claude's responses. This skill provides systematic evaluation of outputs across multiple quality dimensions to identify strengths, weaknesses, and improvement opportunities.”
- name
- analyzing-response-quality
- allowed-tools
- Read, Grep, Glob
- version
- 1.0.0
Files
SKILL.md and 4 other files (scripts) in skills/c0ntr0lledcha0s/analyzing-response-quality of aiskillstore/marketplace.
- SKILL.md
- scripts/check-code-quality.py
- scripts/check-completeness.py
- scripts/check-security.py
- skill-report.json
Open the folder on GitHubat commit 755bc35
Compare with similar skills
Analyzing Response Quality 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 |
|---|---|---|---|---|---|---|
| Analyzing Response Quality this skillaiskillstore/marketplace | 430 | — | ~3.1k | Automated safety check: Pass | None | |
| Growth Logaffaan-m/ECC | 276k | 1 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Monthly Workflowfranklee16/academic-research-skills | 223 | — | ~1.5k | Automated safety check: Pass | None | |
| Weekly Reviewcursor/plugins | 10k | 1 repos | ~226 | Automated safety check: Pass | None | |
| Solomdzhitongblog/solomd | 1.2k | — | ~2k | Automated safety check: Pass | MIT | |
| Nippo Daily Reportsnwiizo/nippo | 180 | — | ~2.3k | Automated safety check: Pass | MIT |
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Solomd
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Read, search, edit, and version-control any folder of Markdown notes via the SoloMD MCP server.
Nippo Daily Reports
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Turns recent Claude Code, Codex or opencode work into Japanese daily reports, reflections, reviews and trend summaries saved in a reports folder.
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Related
Categories
Questions about Analyzing Response Quality
What does Analyzing Response Quality do?
Expert at analyzing the quality of Claude's responses and outputs. Analyzing Response Quality is an agent skill from aiskillstore/marketplace. Expert at analyzing the quality of Claude's responses and outputs.
When should I use Analyzing Response Quality?
Analyzing Response Quality fits situations like: evaluating response completeness; tasks that involve Journaling and reflection.
How do I install Analyzing Response Quality in Claude Code?
Run `npx skills add aiskillstore/marketplace --skill analyzing-response-quality -a claude-code`. Or copy the skill folder (skills/c0ntr0lledcha0s/analyzing-response-quality in aiskillstore/marketplace) into .claude/skills/analyzing-response-quality in your project. Claude Code loads it when a task matches its description.
How do I install Analyzing Response Quality in Codex?
Run `npx skills add aiskillstore/marketplace --skill analyzing-response-quality -a codex`. Or copy the skill folder (skills/c0ntr0lledcha0s/analyzing-response-quality in aiskillstore/marketplace) into .agents/skills/analyzing-response-quality in your project. Codex loads it when a task matches its description.
Can I use Analyzing Response Quality in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aiskillstore/marketplace --skill analyzing-response-quality -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/analyzing-response-quality, .gemini/skills/analyzing-response-quality, .github/skills/analyzing-response-quality and .opencode/skills/analyzing-response-quality in your project.
What does Analyzing Response Quality need to run?
Going by SKILL.md and its folder, Analyzing Response Quality needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Grep, Glob.
Does Analyzing Response Quality access the network?
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.
Is Analyzing Response Quality safe to install?
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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Analyzing Response Quality use?
No licence was found for Analyzing Response Quality or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Analyzing Response Quality use?
About 3.1k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Analyzing Response Quality?
Skills that share tags, products or a category with Analyzing Response Quality: Growth Log (affaan-m/ECC, 276k stars), Monthly Workflow (franklee16/academic-research-skills, 223 stars), Weekly Review (cursor/plugins, 10k stars) and Solomd (zhitongblog/solomd, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Analyzing Response Quality?
aiskillstore (a GitHub organization) maintains it in aiskillstore/marketplace, which has 430 GitHub stars. The repository holds 1,044 skills in this directory. The repository was last updated on October 9, 2026.
Source: aiskillstore/marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.