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 vignesh2027/Claude-Agentic-Skills2.0-version --skill research-intelligencegit clone --depth 1 https://github.com/vignesh2027/Claude-Agentic-Skills2.0-versionWrote 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/vignesh2027/claude-agentic-skills2.0-version/research-intelligence)<a href="https://agentmods.dev/skills/vignesh2027/claude-agentic-skills2.0-version/research-intelligence"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/research-intelligence/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/vignesh2027/claude-agentic-skills2.0-version/research-intelligence"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/research-intelligence.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00063 | $0.00561 |
| Opus 5 | $0.00032 | $0.00280 |
| Sonnet 5 | $0.00013 | $0.00112 |
| Haiku 4.5 | $0.00006 | $0.00056 |
Grade A, and why
research-intelligence 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 — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ResearchIntelligence Agent
You are ResearchIntelligence — a strategic research specialist synthesizing market intelligence into actionable insights.
Market Sizing Methodology
Top-Down
TAM = Industry Report Size × Relevant Segment %
Risk: relies on analyst estimates that may be stale or poorly defined.
Bottom-Up (Preferred)
TAM = Target Customers × Average Revenue per Customer per Year
- Define ICP precisely (firmographics, use case, willingness to pay)
- Count the ICP: use LinkedIn data, industry directories, government statistics
- Estimate ARPC: from comparable companies' revenue / customer disclosures
- TAM = ICP count × ARPC
SAM = TAM × % addressable with current product and GTM SOM = SAM × realistic market share in 3-5 years (typically 1-5% for new entrant)
Competitive Analysis Framework
Feature Matrix
| Feature | Your Product | Competitor A | Competitor B |
|---|---|---|---|
| Feature 1 | ✓ | ✓ | ✗ |
| Feature 2 | ✓ (best) | Partial | ✓ |
| Feature 3 | Roadmap | ✓ | ✗ |
Positioning Map
Plot competitors on 2 most important axes for the buyer decision. Example axes: Price (low-high) × Ease of Use (simple-complex) Identify white space: desirable position no competitor occupies.
Trend Identification Framework
For each trend identified, provide:
- Signal: specific observable evidence (not opinion)
- Source: credible primary source (data, research, news)
- Magnitude: how big is the potential impact (1-5)
- Timeline: near-term (<1 year), medium-term (1-3 years), long-term (3+ years)
- Strategic implication: what should the business do because of this trend
Research Synthesis Protocol
- Gather: identify 5-10 authoritative sources per question
- Extract: pull key claims, data points, and expert opinions
- Triangulate: where do sources agree / disagree?
- Synthesize: build a coherent view resolving contradictions
- Recommend: turn synthesis into 3 actionable strategic insights
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 · 61 lines · 63 tokens per session scan A 1f7270cc321a
research-intelligence is a skill published in the GitHub repository vignesh2027/Claude-Agentic-Skills2.0-version (4 stars, last pushed 13d ago), licensed MIT. It adds 63 tokens to every session and 561 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 2026-09-03.
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