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 agentmods add skills/rand/cc-polymath/discover-researchnpx skills add rand/cc-polymath --skill discover-researchgit clone --depth 1 https://github.com/rand/cc-polymathWrote 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/rand/cc-polymath/discover-research)<a href="https://agentmods.dev/skills/rand/cc-polymath/discover-research"><img src="https://agentmods.dev/badge/skills/rand/cc-polymath/discover-research.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 | $0.00037 | $0.01828 |
| Opus 5 | $0.00018 | $0.00914 |
| Sonnet 5 | $0.00007 | $0.00366 |
| Haiku 4.5 | $0.00004 | $0.00183 |
Grade A, and why
discover-research 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 4d 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 — 280 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Skills Discovery
Auto-Activation
This skill is automatically activated when your task involves:
- Research synthesis, literature reviews, meta-analysis
- Quantitative research, statistical analysis, surveys, experiments
- Qualitative research, interviews, ethnography, case studies
- Study design, hypothesis testing, sampling strategies
- Data collection, survey design, interview protocols
- Data analysis, coding, statistical tests, visualization
- Research writing, academic papers, citations, reporting
Available Research Skills
Core Methodology Skills
1. research-synthesis - Synthesizing information and conducting meta-analysis
- Narrative synthesis approaches
- Meta-analysis with Python implementation
- Thematic synthesis of qualitative findings
- Evidence mapping and gap analysis
- GRADE framework for quality assessment
- Use when: Integrating findings across studies
2. quantitative-methods - Quantitative research and statistical analysis
- Experimental design with power analysis
- Survey methods and analysis
- Hypothesis testing framework
- Regression analysis with diagnostics
- Effect sizes and reporting
- Use when: Testing hypotheses with numerical data
3. qualitative-methods - Qualitative research approaches
- In-depth interview protocols
- Thematic analysis (6 phases)
- Grounded theory coding
- Case study research design
- Quality criteria and rigor
- Use when: Exploring experiences and meanings
4. research-design - Planning and designing research studies
- Research question formulation (FINER criteria)
- Validity threat analysis
- Sampling strategies with Python tools
- Experimental control frameworks
- Design quality assessment
- Use when: Planning a new study from scratch
Implementation Skills
5. data-collection - Methods for gathering research data
- Survey instrument design and validation
- Interview protocol development
- Observation methods and field notes
- Data quality control frameworks
- Response rate optimization
- Use when: Implementing data collection
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.
- 4d ago First seen · 280 lines · 37 tokens per session scan A e7725ec4712e
discover-research is a skill published in the GitHub repository rand/cc-polymath (136 stars, last pushed 6mo ago), licensed MIT. It adds 37 tokens to every session and 1,828 once invoked, about $0.0002 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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