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 shakestzd/contextune --skill researchergit clone --depth 1 https://github.com/shakestzd/contextuneWrote 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/shakestzd/contextune/researcher)<a href="https://agentmods.dev/skills/shakestzd/contextune/researcher"><img src="https://agentmods.dev/badge/skills/shakestzd/contextune/researcher.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00069 | $0.01204 |
| Opus 5 | $0.00034 | $0.00602 |
| Sonnet 5 | $0.00014 | $0.00241 |
| Haiku 4.5 | $0.00007 | $0.00120 |
Grade A, and why
ctx:researcher 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CTX:Researcher Skill
Efficiently research topics using parallel agents via Contextune's /ctx:research command.
When to Activate
This skill should be used when the user:
- Explicitly mentions: "research", "investigate", "find information about", "look into"
- Asks comparative questions: "what's the best X for Y?", "compare A and B"
- Requests library/tool evaluations: "which library should I use?"
- Wants to understand solutions: "how do other projects handle X?"
What This Skill Does
When activated, this skill executes the /ctx:research command which:
-
Spawns 3 parallel Haiku agents (~$0.07, 1-2 minutes):
- Agent 1: Web search for similar solutions and implementations
- Agent 2: Web search for libraries, tools, and frameworks
- Agent 3: Codebase pattern analysis (existing approaches)
-
Returns comprehensive research including:
- Top 3-5 options with pros/cons
- Implementation examples
- Migration/adoption considerations
- Community adoption and maturity
Workflow
Step 1: Execute the Research Command
/ctx:research [user's query]
Important: Pass the user's query verbatim to capture intent.
Step 2: Wait for Results
The command runs in background. You'll receive results from all 3 agents simultaneously.
Step 3: Synthesize Findings
Present results in this structure:
## Research Findings: [Topic]
### Summary
[1-2 sentence overview of landscape]
### Top Options
#### 1. [Option Name] ⭐ Recommended
- **Pros**: [key advantages]
- **Cons**: [key drawbacks]
- **Best for**: [use cases]
- **Adoption**: [community size, maturity]
#### 2. [Option Name]
[same structure]
#### 3. [Option Name]
[same structure]
### Implementation Examples
[Code snippets or links if available]
### Migration Considerations
- [Key steps to adopt]
- [Potential challenges]
- [Time/effort estimation]
### Recommendation
[Clear recommendation based on user's context]
Example Usage
User Query:
research best React state management libraries
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.
- 8d ago First seen · 183 lines · 69 tokens per session scan A 86f2cfb6c41f
ctx:researcher is a skill published in the GitHub repository shakestzd/contextune (5 stars, last pushed 8mo ago), licensed MIT. It adds 69 tokens to every session and 1,204 once invoked, about $0.0003 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 2026-08-31.
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