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-marketnpx skills add qte77/claude-code-plugins --skill researching-marketgit 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-market)<a href="https://agentmods.dev/skills/qte77/claude-code-plugins/researching-market"><img src="https://agentmods.dev/badge/skills/qte77/claude-code-plugins/researching-market.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 | $0.00055 | $0.00767 |
| Opus 5 | $0.00028 | $0.00383 |
| Sonnet 5 | $0.00011 | $0.00153 |
| Haiku 4.5 | $0.00006 | $0.00077 |
Grade A, and why
researching-market 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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Researching Market (Phase 1B)
Target: $ARGUMENTS
Phase 1B of the GTM pipeline. Depends on Phase 0 and Phase 1A. Integrates technical capability and competitive intelligence into strategic market sizing and buyer analysis.
Mode Awareness
Read config/mode.md before starting:
concise— Top-down TAM estimate, one primary persona, bullet entry signalsdetailed— Bottom-up + top-down sizing, 2-3 personas with full profiles, trend projectionsconservative— Use published analyst figures, conservative growth ratesambitious— Build bottom-up case for expansive TAM, highlight adjacencies
Inputs
results/phase-0/capability-profile.md— Source project capabilitiesresults/phase-1a/competitor-map.md— Competitive landscapeconfig/targets.md— Target market segmentsconfig/comments_research.md— Research scope constraintsconfig/mode.md— Style and approach settings
Workflow
- Read Phase 0 and Phase 1A outputs — Synthesize capability and competitive signals
- Define addressable market — Scope TAM, SAM, SOM with methodology
- Size the market — Use cited sources; state assumptions explicitly
- Build buyer personas — Role, pain points, budget authority, buying triggers
- Assess entry signals — What evidence suggests this is the right moment to enter?
- Identify risks — Market timing, regulatory, adoption barriers
- Validate against criteria — Check
config/validation_criteria.mdPhase 1B gates
Output
Write to results/phase-1b/:
market-analysis.md
# Market Analysis
## Market Sizing
### TAM (Total Addressable Market)
- Estimate: $[X]B
- Methodology: [top-down / bottom-up]
- Source: [URL, year]
### SAM (Serviceable Addressable Market)
- Estimate: $[X]B
- Scope: [geography, segment, use case]
### SOM (Serviceable Obtainable Market — Year 1-3)
- Estimate: $[X]M
- Assumptions: [list]
## Growth Rate
- [X]% CAGR through [year] — Source: [URL]
## Buyer Personas
### Persona: [Name/Role]
- Title: [job title]
- Pain: [primary pain point]
- Budget authority: [Yes/No/Influence]
- Buying trigger: [what prompts purchase decision]
## Market Entry Signals
- [Signal] — Strength: [High/Medium/Low]
## Risks
- [Risk] — Likelihood: [H/M/L] — Mitigation: [approach]
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 · 93 lines · 55 tokens per session scan A 5fa0df510b5f
researching-market is a skill published in the GitHub repository qte77/claude-code-plugins (2 stars, last pushed 5d ago), licensed Apache-2.0. It adds 55 tokens to every session and 767 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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