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/qte77/claude-code-plugins/researching-industry-landscapenpx skills add qte77/claude-code-plugins --skill researching-industry-landscapegit clone --depth 1 https://github.com/qte77/claude-code-pluginsWrote 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/qte77/claude-code-plugins/researching-industry-landscape)<a href="https://agentmods.dev/skills/qte77/claude-code-plugins/researching-industry-landscape"><img src="https://agentmods.dev/badge/skills/qte77/claude-code-plugins/researching-industry-landscape.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 | $0.00045 | $0.00635 |
| Opus 5 | $0.00023 | $0.00318 |
| Sonnet 5 | $0.00009 | $0.00127 |
| Haiku 4.5 | $0.00005 | $0.00064 |
Grade A, and why
researching-industry-landscape 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 5d 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 — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Researching Industry Landscape (Phase 1A)
Target: $ARGUMENTS
Phase 1A of the GTM pipeline. Runs in parallel with Phase 0. Produces competitive intelligence that feeds Phase 1B (researching-market).
Mode Awareness
Read config/mode.md before starting:
concise— Top 5 competitors, one-line summary per player, key whitespace onlydetailed— Full competitor profiles, market map, trend analysisconservative— Focus on established market leaders and proven segmentsambitious— Identify emerging players, disruption vectors, underserved niches
Inputs
config/targets.md— Target markets to scope the competitive searchconfig/comments_research.md— Research constraints (geography, verticals, depth)config/mode.md— Style and approach settings
Workflow
- Define search scope from
config/targets.mdandconfig/comments_research.md - Identify competitors — Direct, adjacent, and indirect players (target 6-10)
- Profile each competitor — Positioning, pricing, target segment, key features
- Assess competitive dynamics — Who wins and why? Who is losing ground?
- Map whitespace — Where are underserved segments or capability gaps?
- Identify trends — Regulatory, technological, or behavioral shifts shaping the landscape
- Validate against criteria — Check
config/validation_criteria.mdPhase 1A gates
Output
Write to results/phase-1a/:
competitor-map.md
# Industry Landscape
## Competitor Profiles
### [Competitor Name]
- URL: [url]
- Positioning: [one-liner]
- Target segment: [segment]
- Pricing tier: [free/freemium/paid/enterprise]
- Strengths: [list]
- Weaknesses: [list]
- Source: [URL cited]
## Competitive Dynamics
[Who leads, who is disrupting, key battlegrounds]
## Whitespace Opportunities
1. [Opportunity] — Evidence: [sources]
## Trends Shaping the Landscape
- [Trend] — Impact: [High/Medium/Low]
Rules
- Use public sources only; cite every claim with URL
- Cover direct competitors before adjacent ones
- Whitespace must be specific — not "SMB market" but "SMB fintech compliance tooling"
- Cross-reference competitor weaknesses against Phase 0 capabilities once available
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.
- 5d ago First seen · 78 lines · 45 tokens per session scan A 78b76381e505
researching-industry-landscape is a skill published in the GitHub repository qte77/claude-code-plugins (2 stars, last pushed 7d ago), licensed Apache-2.0. It adds 45 tokens to every session and 635 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 2026-08-31.
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