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/add-contentnpx skills add legacybridge-tech/claude-plugins --skill add-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/add-content)<a href="https://agentmods.dev/skills/legacybridge-tech/claude-plugins/add-content"><img src="https://agentmods.dev/badge/skills/legacybridge-tech/claude-plugins/add-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 | $0.02867 |
| Opus 5 | $0.00024 | $0.01434 |
| Sonnet 5 | $0.00010 | $0.00573 |
| Haiku 4.5 | $0.00005 | $0.00287 |
Grade A, and why
add-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 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 — 406 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Add Content Skill
Generic file creation Skill that works with any directory structure by reading RULE.md to understand purpose and rules.
When to use this Skill
- User says "save", "create", "add", "note"
- User provides content to store
- User provides URLs to archive
- User mentions "readlater", "bookmark", "save article"
- User requests content preservation
Workflow
1. Content Analysis
Determine content type:
- URL: Web content to archive
- Text: Note or article
- Code: Code snippet
- Structured data: JSON, YAML, etc.
- Mixed: Multiple content types
Extract key information:
- Main topics and themes
- Keywords and technical terms
- Content category (technical, personal, work, etc.)
- Content length and complexity
2. Directory Discovery
Scan knowledge base:
- Identify root directory (current working directory or user-specified)
- List main directories using
lsor Glob - Read RULE.md from each main directory
- Build directory catalog with purposes
Example scan result:
ReadLater/ - Purpose: "Archive web content for later reading"
Research/ - Purpose: "Technical and academic research notes"
Work/ - Purpose: "Professional work-related content"
Personal/ - Purpose: "Personal life documentation"
Miscellaneous/ - Purpose: "General notes and articles"
3. Smart Classification
Match content to directories:
- Analyze content topics vs directory purposes
- Check if content type matches directory specialization
- Consider user's past behavior (if known)
- Rank directories by suitability (0-100 score)
Classification logic:
- URL + directory purpose mentions "web archival" → high score
- Technical content + directory purpose mentions "research" → high score
- Work keywords + directory purpose mentions "professional" → high score
- Default to "Miscellaneous" or similar general-purpose directory
4. User Confirmation
Present recommendation:
I analyzed your content about [topic].
Recommended location: [Directory]/
Reason: [Why this directory suits the content]
Is this correct?
- Yes (proceed with this directory)
- No, use different directory (please specify path)
- Show me other options
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 · 406 lines · 48 tokens per session scan A b8d98ab0de26
add-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 2,867 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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