Agent skill

Comprehensive Research Agent

by foryourhealth111-pixel in foryourhealth111-pixel/Vibe-Skills

Ensure thorough validation, error recovery, and transparent reasoning in research tasks with multiple tool calls

Apache-2.0Auto-check passedResearch & Science

Install Comprehensive Research Agent

skills CLI
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill comprehensive-research-agent -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install foryourhealth111-pixel/Vibe-Skills comprehensive-research-agent --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/foryourhealth111-pixel/Vibe-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/bundled/skills/comprehensive-research-agent .claude/skills/comprehensive-research-agent && rm -rf skills-src

Use ~/.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/

Facts

Skill name
comprehensive-research-agent
GitHub stars
3.6k
Token cost
~2.1k tokens
SKILL.md length
1,099 words
Files
4 (incl. references)
Skills in repo
81
Repo updated
First seen
Licence
Apache-2.0

At a glance

Ensure thorough validation, error recovery, and transparent reasoning in research tasks with multiple tool calls

  • Works in 10 steps: After each tool call, explicitly check… → Before reading URLs, rank sources by… → Thinking blocks must be 3-5+ sentences… → …
  • Tasks that involve Deep research
  • SKILL.md covers When to Activate, Core Concepts, Patterns to Avoid and Recommended Practices, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Comprehensive Research Agent is an agent skill from foryourhealth111-pixel/Vibe-Skills. Ensure thorough validation, error recovery, and transparent reasoning in research tasks with multiple tool calls

Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/optimization_summary.json` and `references/patterns_found.json`).

It sits in Research & Science, covering Deep research. The repository describes itself as: Intelligent Skill routing and workflow orchestration for AI agents — +21.12 pp reward, −29.6% tokens on SkillsBench with DeepSeekV4Flash-VE. The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Deep research

Example prompts

  • “/comprehensive-research-agent”

Workflow steps

10 steps, taken from the first numbered list in SKILL.md.

  1. After each tool call, explicitly check for errors in the response and acknowledge failures in the next thinking block with recovery strategy
  2. Before reading URLs, rank sources by relevance/credibility and document selection rationale - never read results without evaluation
  3. Thinking blocks must be 3-5+ sentences minimum and include: what was learned, connections to goal, gaps/contradictions, and next steps
  4. Create a pre-completion checklist verifying: all requirements covered, sources retrieved, claims validated, gaps documented
  5. Maintain source tracking - only cite URLs that were successfully fetched; prohibit citing unretrieved sources
  6. When writing final reports, include 'Limitations & Gaps' section documenting what was attempted but failed or what remains unverified
  7. Use read_file (not list_directory) to verify file content after save operations
  8. Cross-validate key claims across at least 2 sources when possible; explicitly note consensus or contradictions
  9. Track gathered information to avoid redundant searches - implement 'found resources' tracker for multi-phase research
  10. Replace vague 'comprehensive' statements with specific summaries: 'Covered X sources on Y topic; missing Z aspects'

What it can do on your machine

Read from SKILL.md and the folder at commit ddcaa2a. 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.

    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

Comprehensive Research Agent loads about 2.1k tokens when it runs, and up to ~5.6k if it reads all its reference files. Until then it costs about 35 tokens; SKILL.md has 1,099 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~35
When it runs · the whole SKILL.md, loaded when a task matches
~2.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.6k

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

The full file from foryourhealth111-pixel/Vibe-Skills at commit ddcaa2a, republished under its Apache-2.0 licence (© foryourhealth111-pixel). 1,099 words, ~2,129 tokens.

Download SKILL.mdSave it as .claude/skills/comprehensive-research-agent/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
comprehensive-research-agent
description
Ensure thorough validation, error recovery, and transparent reasoning in research tasks with multiple tool calls

Comprehensive Research Agent Best Practices

This skill addresses common failures in multi-step research tasks: unhandled tool errors, missing validation, opaque reasoning, and premature conclusions. It provides structured protocols for source validation, error recovery, and thinking transparency that significantly improves research quality and reliability.

When to Activate

  • Task involves web research with search, read_url, or fetch operations
  • Task requires gathering information from multiple sources
  • Task has explicit requirements for completeness or verification
  • Task includes file operations that need validation (save, write, read)
  • Any research or information-gathering workflow with 3+ tool interactions

Core Concepts

  • Validation Checkpoints: Explicit verification steps at phase transitions to confirm tool outputs, source relevance, and information completeness before proceeding
  • Error Recovery Protocols: Mandatory acknowledgment and handling of tool failures with fallback strategies rather than silent continuation
  • Source Traceability: Maintaining clear tracking of which sources were actually retrieved vs. referenced from prior knowledge to prevent hallucination
  • Substantive Thinking Blocks: Detailed reasoning traces that document insights, connections, gaps, and decision rationale at each step
  • Cross-Source Validation: Verifying key claims against multiple sources and explicitly noting consensus, contradictions, and information gaps

Patterns to Avoid

  • Silent Tool Failure*: A tool call returns an error (404, timeout, invalid URL) but the agent proceeds without acknowledging it, potentially missing critical information. Always log failures and attempt recovery or document the gap.
  • Vague Completion Claims*: Agent declares 'I have enough information' or 'research is comprehensive' without specifying what was learned, what sources support claims, or what gaps remain. Replace with specific summaries of coverage.
  • Unvalidated Source Selection*: Agent reads URLs from search results without evaluating relevance, credibility, or recency first. This wastes tool calls on low-quality sources. Always rank and prioritize sources before deep reading.
  • Generic Thinking Blocks*: Thinking contains only next-action descriptions ('Now I will search for X') without analysis of what was learned, how it connects to the goal, or what questions remain. Thinking should be substantive and reflective.
  • Verification Method Error*: Using list_directory to verify file creation can produce false negatives due to caching. Always use read_file for actual content verification.
  • Citation Without Retrieval*: Citing sources (URLs, paper titles) in the final report that were never successfully fetched or read. Track sources explicitly and prohibit citing unretrieved content.
  • Redundant Tool Calls*: Making overlapping searches or reading sources without tracking what has already been obtained. Maintain a 'found resources' tracker to avoid duplication.
  • Implement Pre-Reading Source Evaluation*: Before reading URLs, rank search results by relevance, credibility, recency, and authority. Document selection rationale in thinking blocks.
  • Use Structured Thinking Blocks*: Each thinking block must include: (a) what was learned from the source/action, (b) how it connects to the research goal, (c) any contradictions/gaps identified, (d) strategic decisions made. Avoid generic next-action statements.
  • Add Mandatory Error Acknowledgment*: When any tool fails, the next thinking block must explicitly address it: note the failure type, propose a recovery strategy (retry, alternative source, or documented gap), and explain the chosen approach.
  • Create Pre-Completion Validation Checklist*: Before declaring research complete, verify: all required sections have specific evidence, all sources were successfully retrieved, key claims are cross-validated, and gaps are documented.
  • Implement Cross-Source Validation*: After gathering information from multiple sources, explicitly compare findings. Note where sources agree, where they contradict, and what remains unverified. Use this to assess overall confidence.
  • Maintain Source Tracking Table*: Create a simple table in thinking showing which URLs were fetched, which failed, and which were used for specific claims. Never cite unretrieved sources.
  • Use Read_File for Verification*: When confirming file writes, use read_file to verify actual content rather than list_directory, which can have caching issues causing false negatives.
  • Add Explicit Validation Phase*: After reading sources, write a brief synthesis that confirms usefulness, notes relevance to research goals, and identifies remaining gaps before proceeding to the next phase.
Show full SKILL.md (475 more words)Show less

Guidelines

  1. After each tool call, explicitly check for errors in the response and acknowledge failures in the next thinking block with recovery strategy
  2. Before reading URLs, rank sources by relevance/credibility and document selection rationale - never read results without evaluation
  3. Thinking blocks must be 3-5+ sentences minimum and include: what was learned, connections to goal, gaps/contradictions, and next steps
  4. Create a pre-completion checklist verifying: all requirements covered, sources retrieved, claims validated, gaps documented
  5. Maintain source tracking - only cite URLs that were successfully fetched; prohibit citing unretrieved sources
  6. When writing final reports, include 'Limitations & Gaps' section documenting what was attempted but failed or what remains unverified
  7. Use read_file (not list_directory) to verify file content after save operations
  8. Cross-validate key claims across at least 2 sources when possible; explicitly note consensus or contradictions
  9. Track gathered information to avoid redundant searches - implement 'found resources' tracker for multi-phase research
  10. Replace vague 'comprehensive' statements with specific summaries: 'Covered X sources on Y topic; missing Z aspects'

Examples

  • Before (Anti-Pattern): 'I searched for context engineering and found several results. Now I'll read some URLs and then write the report. I have enough information to proceed.'

After (Pattern): 'Search returned 15 results on context engineering. Evaluating relevance: Liu et al. (2024) appears most authoritative on 'lost in the middle' phenomenon; Anthropic documentation likely has current context window specs; Patel (2023) covers RAG best practices. Ranking these as top 3 priorities. Reading top result first. If the primary source fails (URL error), will try backup search for correct documentation URL and note the gap in final report.'

  • Before (Anti-Pattern): Tool returns 404 error for Anthropic context windows URL. Agent continues without acknowledgment. Later cites 'Claude has 200K context window' without showing source. Final report cites Google Research paper that was never fetched.

After (Pattern): Tool returned 404 for Anthropic URL. Thinking: 'Primary source failed. Fallback: search for alternative Anthropic documentation URL or find archived version. If unavailable, note context window data from secondary sources only and add disclaimer about verification status.' Then: 'Cross-validated Claude context window: Anthropic blog (successfully read) and two developer documentation sources agree on 200K. Confident in this claim.' Source tracking table shows: Anthropic URL (failed, backup used), Blog (success), Dev docs (success).


Score Expectations

Complex research tasks with multiple tools (6+) and multi-step reasoning chains typically achieve scores in the 65-75 range. This is not a limitation of the prompt but reflects:

  • Inherent variability in tool outputs affecting reasoning paths
  • Multiple valid approaches leading to different intermediate scores
  • Stochastic nature of long-horizon agent execution

Focus on relative improvement and pattern elimination rather than absolute scores. A 5-10% improvement from optimization is significant for complex tasks.


Skill Metadata

Generated: 2026-01-11 Source: Reasoning Trace Optimizer Optimization Iterations: 10 Best Score Achieved: 72/100 (iteration 4) Final Score: 70.0/100 Score Improvement: 67.6 → 70.0 (+3.6%)

© foryourhealth111-pixel, 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

Files

SKILL.md and 3 other files (references) in bundled/skills/comprehensive-research-agent of foryourhealth111-pixel/Vibe-Skills.

  • SKILL.md
  • references/optimization_summary.json
  • references/optimized_prompt.txt
  • references/patterns_found.json

Open the folder on GitHubat commit ddcaa2a

Compare with similar skills

Comprehensive Research Agent 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.

Comprehensive Research Agent compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Comprehensive Research Agent this skillforyourhealth111-pixel/Vibe-Skills3.6k—~2.1kAutomated safety check: PassApache-2.0
GitHub Deep Researchbytedance/deer-flow84k4 repos~1.3kAutomated safety check: PassMIT
Deep Research WorkflowTokenRhythm/opensquilla7.1k—~1.3kAutomated safety check: PassApache-2.0
Deep Researchsanjay3290/ai-skills4329 repos~683Automated safety check: NotesApache-2.0
Horizontal-Vertical Deep ResearchKKKKhazix/khazix-skills21k—~2.1kAutomated safety check: PassMIT
Academic Research PipelineImbad0202/academic-research-skills51k—~15kAutomated safety check: PassCustom licence

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Questions about Comprehensive Research Agent

What does Comprehensive Research Agent do?

Ensure thorough validation, error recovery, and transparent reasoning in research tasks with multiple tool calls. Comprehensive Research Agent is an agent skill from foryourhealth111-pixel/Vibe-Skills.

When should I use Comprehensive Research Agent?

Comprehensive Research Agent fits situations like: tasks that involve Deep research.

How do I install Comprehensive Research Agent in Claude Code?

Run `npx skills add foryourhealth111-pixel/Vibe-Skills --skill comprehensive-research-agent -a claude-code`. Or copy the skill folder (bundled/skills/comprehensive-research-agent in foryourhealth111-pixel/Vibe-Skills) into .claude/skills/comprehensive-research-agent in your project. Claude Code loads it when a task matches its description.

How do I install Comprehensive Research Agent in Codex?

Run `npx skills add foryourhealth111-pixel/Vibe-Skills --skill comprehensive-research-agent -a codex`. Or copy the skill folder (bundled/skills/comprehensive-research-agent in foryourhealth111-pixel/Vibe-Skills) into .agents/skills/comprehensive-research-agent in your project. Codex loads it when a task matches its description.

Can I use Comprehensive Research Agent 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 foryourhealth111-pixel/Vibe-Skills --skill comprehensive-research-agent -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/comprehensive-research-agent, .gemini/skills/comprehensive-research-agent, .github/skills/comprehensive-research-agent and .opencode/skills/comprehensive-research-agent in your project.

What does Comprehensive Research Agent need to run?

SKILL.md names no scripts, command-line tools or credentials: Comprehensive Research Agent is instructions for the agent only.

Does Comprehensive Research Agent 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 Comprehensive Research Agent 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 Comprehensive Research Agent use?

Comprehensive Research Agent 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.

How many tokens does Comprehensive Research Agent use?

About 2.1k tokens (SKILL.md is roughly 8.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.4k tokens, read only when the agent opens those files.

What are the alternatives to Comprehensive Research Agent?

Skills that share tags, products or a category with Comprehensive Research Agent: GitHub Deep Research (bytedance/deer-flow, 84k stars), Deep Research Workflow (TokenRhythm/opensquilla, 7.1k stars), Deep Research (sanjay3290/ai-skills, 432 stars) and Horizontal-Vertical Deep Research (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 Comprehensive Research Agent?

foryourhealth111-pixel (a GitHub user) maintains it in foryourhealth111-pixel/Vibe-Skills, which has 3,627 GitHub stars. The repository holds 81 skills in this directory. The repository was last updated on August 31, 2026.

Source: foryourhealth111-pixel/Vibe-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.