Agent Skills for Context Engineering is a collection of reusable instructions that teach AI agents how to manage their context, coordinate multi-agent systems, and evaluate behavior. Developers use it when building or debugging production agent systems, and the catalogue entries are skills, agents, instructions, and a plugin from this collection.
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.
npx skills add muratcankoylan/Agent-Skills-for-Context-Engineering --skill comprehensive-research-agentgit clone --depth 1 https://github.com/muratcankoylan/Agent-Skills-for-Context-EngineeringWrote 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.
[](https://agentmods.dev/skills/muratcankoylan/agent-skills-for-context-engineering/comprehensive-research-agent)<a href="https://agentmods.dev/skills/muratcankoylan/agent-skills-for-context-engineering/comprehensive-research-agent"><img src="https://agentmods.dev/badge/skills/muratcankoylan/agent-skills-for-context-engineering/comprehensive-research-agent/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.
<a href="https://agentmods.dev/skills/muratcankoylan/agent-skills-for-context-engineering/comprehensive-research-agent"><img src="https://agentmods.dev/badge/skills/muratcankoylan/agent-skills-for-context-engineering/comprehensive-research-agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00023 | $0.01643 |
| Opus 5 | $0.00012 | $0.00822 |
| Sonnet 5 | $0.00005 | $0.00329 |
| Haiku 4.5 | $0.00002 | $0.00164 |
Grade A, and why
comprehensive-research-agent 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 12d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- comprehensive-research-agent — 100% identical, 34 lines differ
How it starts
The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 91 lines · 23 tokens per session scan A c9314da5df61
comprehensive-research-agent is a skill published in the GitHub repository muratcankoylan/Agent-Skills-for-Context-Engineering (17,960 stars, last pushed yesterday), licensed MIT. It adds 23 tokens to every session and 1,643 once invoked, about $0.0001 per session on Opus 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 2026-08-30.
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