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 skills add danielrosehill/Claude-Taxonomy-Creation-Plugin --skill load-to-sqlitegit clone --depth 1 https://github.com/danielrosehill/Claude-Taxonomy-Creation-PluginWrote 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/danielrosehill/claude-taxonomy-creation-plugin/load-to-sqlite)<a href="https://agentmods.dev/skills/danielrosehill/claude-taxonomy-creation-plugin/load-to-sqlite"><img src="https://agentmods.dev/badge/skills/danielrosehill/claude-taxonomy-creation-plugin/load-to-sqlite.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 | $0.00036 | $0.00649 |
| Opus 5 | $0.00018 | $0.00324 |
| Sonnet 5 | $0.00007 | $0.00130 |
| Haiku 4.5 | $0.00004 | $0.00065 |
Grade A, and why
load-to-sqlite 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 7d 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 — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Load Taxonomy to SQLite
Load a taxonomy into SQLite with full schema generation, type inference, and multiple load modes.
When to use
- "Load the taxonomy into SQLite"
- "I want this in a local .db file"
- "Create a SQLite database with the taxonomy"
Inputs to gather
- Database file path: Absolute path to
.dbfile (will be created if missing). - Table name: What to call the table.
- Taxonomy file path: Absolute path to CSV or auto-discover from
data/<name>/<name>.csv. - Load mode:
replace,upsert,append. - Strict mode?: Use
STRICTtables (SQLite ≥3.37) for stronger type enforcement.
Procedure
- Check SQLite version: Run
sqlite3 --version; if ≥3.37, offerSTRICTtable option (recommended). - Generate DDL: Infer column types from CSV:
code→TEXTPRIMARY KEY.label/name→TEXT.- Numeric columns →
INTEGERorREAL. - Timestamps →
TEXT(ISO 8601 string) orINTEGER(Unix epoch). parent_code→TEXTwith FOREIGN KEY (SQLite supports FK but must enablePRAGMA foreign_keys = ON).- For STRICT tables, append
STRICT;to the CREATE TABLE statement.
- Show user the DDL for approval.
- Handle load mode:
replace:DELETE FROM <table>; .import --csv <csv_path> <table>upsert: Use Pythonsqlite3or raw SQLINSERT … ON CONFLICT(code) DO UPDATE SET …(SQLite 3.24+).append:.import --csv <csv_path> <table>directly.
- Enable constraints: Run
PRAGMA foreign_keys = ON;before any load if hierarchical. - Load via sqlite3 CLI (fast for CSV) or Python sqlite3 module (for typed inserts and error handling).
- Log the operation: Write to
state/loads/<timestamp>-<filename>.logwith timestamp, mode, row count, status.
Output / side effects
- SQLite database with populated table.
- Load logged to
state/loads/<timestamp>-<filename>.log.
Safety / constraints
- STRICT tables: Recommended for type safety on SQLite ≥3.37; omit for older versions.
- Foreign key support: Must explicitly
PRAGMA foreign_keys = ON;to enforce; disabled by default. - Type flexibility: SQLite is dynamically typed; STRICT mitigates but doesn't guarantee type discipline.
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.
- 7d ago First seen · 53 lines · 36 tokens per session scan A aed97fc314c0
load-to-sqlite is a skill published in the GitHub repository danielrosehill/Claude-Taxonomy-Creation-Plugin (3 stars, last pushed 4mo ago), licensed MIT. It adds 36 tokens to every session and 649 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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