Orca CLI
stablyai/orca
Operate Orca-managed worktrees, folder contexts, terminals, repos, automations, artifacts, skill sharing, worktree comments, and Orca's embedded browser…
Score every decision point with a Thoroughness Rating (1-10).
Install Thoroughness Scoring
$ npx skills add rohitg00/pro-workflow --skill thoroughness-scoring -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install rohitg00/pro-workflow thoroughness-scoring --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/rohitg00/pro-workflow.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/thoroughness-scoring .claude/skills/thoroughness-scoring && 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 "thoroughness-scoring" agent skill from https://github.com/rohitg00/pro-workflow/tree/main/skills/thoroughness-scoring into .claude/skills/thoroughness-scoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "thoroughness-scoring", 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/rohitg00/pro-workflow/tree/main/skills/thoroughness-scoringType 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 rohitg00/pro-workflow --skill thoroughness-scoring -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install rohitg00/pro-workflow thoroughness-scoring --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rohitg00/pro-workflow.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/thoroughness-scoring .agents/skills/thoroughness-scoring && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "thoroughness-scoring" agent skill from https://github.com/rohitg00/pro-workflow/tree/main/skills/thoroughness-scoring into .agents/skills/thoroughness-scoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "thoroughness-scoring", 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 rohitg00/pro-workflow --skill thoroughness-scoring -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install rohitg00/pro-workflow thoroughness-scoring --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rohitg00/pro-workflow.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/thoroughness-scoring .cursor/skills/thoroughness-scoring && 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 "thoroughness-scoring" agent skill from https://github.com/rohitg00/pro-workflow/tree/main/skills/thoroughness-scoring into .cursor/skills/thoroughness-scoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "thoroughness-scoring", 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/rohitg00/pro-workflow.git --path skills/thoroughness-scoring--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 rohitg00/pro-workflow --skill thoroughness-scoring -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install rohitg00/pro-workflow thoroughness-scoring --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rohitg00/pro-workflow.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/thoroughness-scoring .gemini/skills/thoroughness-scoring && 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 "thoroughness-scoring" agent skill from https://github.com/rohitg00/pro-workflow/tree/main/skills/thoroughness-scoring into .gemini/skills/thoroughness-scoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "thoroughness-scoring", 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 rohitg00/pro-workflow thoroughness-scoringInstalls 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 rohitg00/pro-workflow --skill thoroughness-scoring -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/rohitg00/pro-workflow.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/thoroughness-scoring .github/skills/thoroughness-scoring && 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 "thoroughness-scoring" agent skill from https://github.com/rohitg00/pro-workflow/tree/main/skills/thoroughness-scoring into .github/skills/thoroughness-scoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "thoroughness-scoring", 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 rohitg00/pro-workflow --skill thoroughness-scoring -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install rohitg00/pro-workflow thoroughness-scoring --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rohitg00/pro-workflow.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/thoroughness-scoring .opencode/skills/thoroughness-scoring && 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 "thoroughness-scoring" agent skill from https://github.com/rohitg00/pro-workflow/tree/main/skills/thoroughness-scoring into .opencode/skills/thoroughness-scoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "thoroughness-scoring", 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
thoroughness-scoring- GitHub stars
- 2.9k
- Token cost
- ~1.3k tokens
- SKILL.md length
- 414 words
- Files
- 1
- Skills in repo
- 41
- Repo updated
- First seen
- Licence
- None found
At a glance
Score every decision point with a Thoroughness Rating (1-10).
- Works in 3 steps: Re-State Context → Rate Each Option → Recommend
- Agent Workflows work in your project
- SKILL.md covers The Rating Scale, How to Present Options, Scope Check and Decision Framework, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Thoroughness Scoring is an agent skill from rohitg00/pro-workflow. Score every decision point with a Thoroughness Rating (1-10). AI makes the marginal cost of doing things properly near-zero — pick the higher-rated option every time. Includes scope checks to distinguish contained vs unbounded work.
Its SKILL.md is about 1.3k 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 Agent Workflows. The repository describes itself as: Claude Code learns from your corrections: self-correcting memory that compounds over 50+ sessions. Context engineering, parallel worktrees, agent teams, and 17 battle-tested…
When your agent uses it
- Agent Workflows work in your project
Example prompts
- “/thoroughness-scoring”
Workflow steps
3 steps, taken from the step headings in SKILL.md.
- Re-State Context
- Rate Each Option
- Recommend
What it can do on your machine
Read from SKILL.md and the folder at commit 86d5f27. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
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
Thoroughness Scoring loads about 1.3k tokens when it runs. Until then it costs about 63 tokens; SKILL.md has 414 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); files beside SKILL.md are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 414 words (~1,285 tokens).
“AI drops the cost of doing things right to near-zero. Stop picking the quick hack when the thorough option takes the same wall-clock time with AI assistance.”
- name
- thoroughness-scoring
Files
Just SKILL.md in skills/thoroughness-scoring of rohitg00/pro-workflow.
Open the folder on GitHubat commit 86d5f27
Compare with similar skills
Thoroughness Scoring 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 |
|---|---|---|---|---|---|---|
| Thoroughness Scoring this skillrohitg00/pro-workflow | 2.9k | — | ~1.3k | Automated safety check: Pass | None | |
| Orca CLIstablyai/orca | 88k | 2 repos | ~593 | Automated safety check: Pass | MIT | |
| OpenSpec Guided OnboardingFission-AI/OpenSpec | 71k | 1 repos | ~4.5k | Automated safety check: Pass | MIT | |
| Claude Code Plugin Structureanthropics/claude-plugins-official | 38k | 10 repos | ~3.4k | Automated safety check: Pass | Apache-2.0 | |
| Neat-Freak Knowledge CloseoutKKKKhazix/khazix-skills | 21k | — | ~1.9k | Automated safety check: Pass | MIT | |
| O2 Review Loopopenobserve/openobserve | 22k | — | ~3.7k | Automated safety check: Pass | AGPL-3.0 |
Similar skills
OpenSpec Guided Onboarding
Fission-AI/OpenSpec
Walks you through a complete OpenSpec workflow cycle with narration while doing real work in your codebase.
- Official
Claude Code Plugin Structure
anthropics/claude-plugins-official
Explains the directory layout, plugin.json manifest and component organization of a Claude Code plugin, including auto-discovery and portable paths.
Neat-Freak Knowledge Closeout
KKKKhazix/khazix-skills
Brings project docs, agent rule files, authorized memory and leftover workspace files back in line with what the code and runtime actually do at the end of a work session.
O2 Review Loop
openobserve/openobserve
Splits a change into planner, coder and independent reviewer roles: you confirm a spec, a subagent implements it, and a separate reviewer checks each round's local WIP commit.
Autoresearch Iteration Loop
uditgoenka/autoresearch
Runs an autonomous modify, verify, keep-or-discard loop against any metric, with subcommands for planning, debugging, fixing, security audits, shipping and more.
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All 41 skills in this repoWiki Builder
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Start, structure, and grow a persistent research wiki indexed in pro-workflow's SQLite knowledge base.
LLM Council
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Provider-agnostic multi-LLM deliberation. An agent skill from rohitg00/pro-workflow.
Survey Generator
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Compile a structured literature survey on any AI/ML topic. An agent skill from rohitg00/pro-workflow.
Wiki Query
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Query pro-workflow wikis via SQLite FTS5 BM25 retrieval. An agent skill from rohitg00/pro-workflow.
Wiki Research Loop
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Auto-grow a pro-workflow wiki by running a budget-capped BFS research loop over pluggable source fetchers (web, arXiv, GitHub).
Wiki Viewer
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Render a self-contained HTML viewer for a pro-workflow wiki.
Related
Categories
Questions about Thoroughness Scoring
What does Thoroughness Scoring do?
Score every decision point with a Thoroughness Rating (1-10). Thoroughness Scoring is an agent skill from rohitg00/pro-workflow. Score every decision point with a Thoroughness Rating (1-10).
When should I use Thoroughness Scoring?
Thoroughness Scoring fits situations like: agent Workflows work in your project.
How do I install Thoroughness Scoring in Claude Code?
Run `npx skills add rohitg00/pro-workflow --skill thoroughness-scoring -a claude-code`. Or copy the skill folder (skills/thoroughness-scoring in rohitg00/pro-workflow) into .claude/skills/thoroughness-scoring in your project. Claude Code loads it when a task matches its description.
How do I install Thoroughness Scoring in Codex?
Run `npx skills add rohitg00/pro-workflow --skill thoroughness-scoring -a codex`. Or copy the skill folder (skills/thoroughness-scoring in rohitg00/pro-workflow) into .agents/skills/thoroughness-scoring in your project. Codex loads it when a task matches its description.
Can I use Thoroughness Scoring 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 rohitg00/pro-workflow --skill thoroughness-scoring -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/thoroughness-scoring, .gemini/skills/thoroughness-scoring, .github/skills/thoroughness-scoring and .opencode/skills/thoroughness-scoring in your project.
What does Thoroughness Scoring need to run?
SKILL.md names no scripts, command-line tools or credentials: Thoroughness Scoring is instructions for the agent only.
Does Thoroughness Scoring 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 Thoroughness Scoring 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. Review the folder before installing.
What licence does Thoroughness Scoring use?
No licence was found for Thoroughness Scoring or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Thoroughness Scoring use?
About 1.3k tokens (SKILL.md is roughly 5.1k 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 Thoroughness Scoring?
Skills that share tags, products or a category with Thoroughness Scoring: Orca CLI (stablyai/orca, 88k stars), OpenSpec Guided Onboarding (Fission-AI/OpenSpec, 71k stars), Claude Code Plugin Structure (anthropics/claude-plugins-official, 38k stars) and Neat-Freak Knowledge Closeout (KKKKhazix/khazix-skills, 21k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Thoroughness Scoring?
rohitg00 (a GitHub user) maintains it in rohitg00/pro-workflow, which has 2,907 GitHub stars. The repository holds 41 skills in this directory. The repository was last updated on September 29, 2026.
Source: rohitg00/pro-workflow on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.