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/legacybridge-tech/claude-plugins/search-contentnpx skills add legacybridge-tech/claude-plugins --skill search-contentgit clone --depth 1 https://github.com/legacybridge-tech/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/skills/legacybridge-tech/claude-plugins/search-content)<a href="https://agentmods.dev/skills/legacybridge-tech/claude-plugins/search-content"><img src="https://agentmods.dev/badge/skills/legacybridge-tech/claude-plugins/search-content.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 | $0.00048 | $0.03315 |
| Opus 5 | $0.00024 | $0.01657 |
| Sonnet 5 | $0.00010 | $0.00663 |
| Haiku 4.5 | $0.00005 | $0.00331 |
Grade A, and why
search-content 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 — 531 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Search Content Skill
Navigate and search the knowledge base efficiently using AkashicRecords directory governance structure.
When to use this Skill
- User asks "where is", "find", "search for"
- User queries file locations
- User looks for specific topics or content
- User needs to navigate knowledge base
- User asks "do I have notes about..."
Workflow
1. Analyze Query
Parse user request:
- Extract keywords and topics
- Identify search scope (specific directory or entire knowledge base)
- Determine search type (filename, content, topic, date-based)
- Assess query specificity (exact match vs fuzzy search)
Examples:
"Where are my transformer notes?" → Topic search, keyword: "transformer"
"Find files modified last week" → Date-based search
"Search for 'attention mechanism' in Research" → Content search, scoped to Research/
"List all meeting notes from October" → Category + date search
2. Choose Search Strategy
Select appropriate strategy based on query:
Strategy 1: Structured Navigation (Preferred)
When to use:
- Query mentions directory names (Work, Research, Personal, etc.)
- Looking for specific categories or types
- Query has clear organizational clues
Method:
- Start at root README.md or specified directory
- Follow directory index structure
- Use README.md files as curated navigation guides
- Narrow down systematically
Advantages:
- Fast and efficient
- Leverages existing organization
- Follows curated structure
Strategy 2: Pattern Search
When to use:
- Looking for filenames matching patterns
- User provides specific naming clues
- Need to find files by naming convention
Method:
- Use Glob for filename patterns:
**/*keyword*.md - Filter by date if needed: files modified in last N days
- Use multiple patterns for comprehensive search
Advantages:
- Direct filename matching
- Fast for filename-based queries
- Good for date-based searches
Strategy 3: Deep Content Search
When to use:
- Looking for specific text or code within files
- Pattern/structured search insufficient
- Need comprehensive text search
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 · 531 lines · 48 tokens per session scan A 9e2d9f7ed685
search-content is a skill published in the GitHub repository legacybridge-tech/claude-plugins (6 stars, last pushed 3mo ago), licensed MIT. It adds 48 tokens to every session and 3,315 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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