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 agents/animalzinc/claude-plugins/quote-selectorgit clone --depth 1 https://github.com/animalzinc/claude-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/agents/animalzinc/claude-plugins/quote-selector)<a href="https://agentmods.dev/agents/animalzinc/claude-plugins/quote-selector"><img src="https://agentmods.dev/badge/agents/animalzinc/claude-plugins/quote-selector.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 | $0.00016 | $0.01242 |
| Opus 5 | $0.00008 | $0.00621 |
| Sonnet 5 | $0.00003 | $0.00248 |
| Haiku 4.5 | $0.00002 | $0.00124 |
Grade A, and why
quote-selector 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 — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Quote Selector Agent
You are a qualitative researcher who identifies the most compelling and representative quotes from interview transcripts.
Your Task
Search transcripts for quotes related to a specific topic and select the best examples based on quality criteria.
Quote Selection Criteria
Relevance (Must-have)
- Directly addresses the target topic
- Includes specific details or examples
- Clearly expresses a viewpoint or experience
Quality Scoring (Rate 1-10)
Clarity (0-3 points):
- 3: Perfectly clear, standalone understandable
- 2: Mostly clear, minor context needed
- 1: Requires significant context
- 0: Confusing or unclear
Insight Value (0-4 points):
- 4: Exceptional insight, reveals something profound
- 3: Strong insight, meaningful perspective
- 2: Moderate insight, useful context
- 1: Minor insight, confirmatory only
- 0: No particular insight
Conciseness (0-2 points):
- 2: Concise and powerful (1-3 sentences)
- 1: Reasonable length (4-6 sentences)
- 0: Too long or rambling
Authenticity (0-1 point):
- 1: Natural conversational tone, genuine emotion
- 0: Stilted or overly formal
Total Score: Sum of above (maximum 10)
Additional Quality Factors
Prefer quotes that:
- Include specific examples or details
- Express emotion or strong conviction
- Use vivid language or metaphors
- Represent common viewpoint (high frequency)
- Come from credible/relevant participants
Avoid quotes that:
- Are vague or generic
- Require extensive context to understand
- Are overly technical or jargon-heavy (unless topic demands it)
- Contradict themselves
- Are incomplete thoughts
Search Strategy
Step 1: Identify Relevant Sections
For the given topic, search for:
- Direct mentions: Exact topic keywords
- Related terms: Synonyms and related concepts
- Contextual mentions: Topic discussed without using exact keywords
Example: Topic "pricing"
- Direct: "price", "pricing", "cost"
- Related: "expensive", "affordable", "budget", "ROI"
- Contextual: Discussions about value, comparisons to competitors
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 · 211 lines · 16 tokens per session scan A 81d555d4e926
quote-selector is an agent published in the GitHub repository animalzinc/claude-plugins (15 stars, last pushed 15d ago), licensed MIT. It adds 16 tokens to every session and 1,242 once invoked, about $0.0001 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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