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 cockroachlabs/cockroachdb-skills --skill molt-fetchgit clone --depth 1 https://github.com/cockroachlabs/cockroachdb-skillsWrote 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/cockroachlabs/cockroachdb-skills/molt-fetch)<a href="https://agentmods.dev/skills/cockroachlabs/cockroachdb-skills/molt-fetch"><img src="https://agentmods.dev/badge/skills/cockroachlabs/cockroachdb-skills/molt-fetch/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/cockroachlabs/cockroachdb-skills/molt-fetch"><img src="https://agentmods.dev/badge/skills/cockroachlabs/cockroachdb-skills/molt-fetch.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00053 | $0.01287 |
| Opus 5 | $0.00026 | $0.00643 |
| Sonnet 5 | $0.00011 | $0.00257 |
| Haiku 4.5 | $0.00005 | $0.00129 |
Grade A, and why
molt-fetch 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 9d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- molt-fetch — 100% identical, 0 lines differ
- molt-fetch — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
molt fetch
Bulk data migration from source databases (PostgreSQL, MySQL, Oracle, MSSQL) to CockroachDB.
Basic Structure
molt fetch \
--source "<source-conn>" \
--target "<crdb-conn>" \
--bucket-path "s3://bucket/prefix" # or --direct-copy or --local-path
[options]
Storage Backends (pick one)
| Option | When to use |
|---|---|
--bucket-path "s3://..." |
AWS S3 (also gs:// for GCS, azure:// for Azure) |
--direct-copy |
No intermediate storage; fastest for accessible networks |
--local-path "/tmp/molt" + --local-path-listen-addr "0.0.0.0:9005" |
CRDB must reach the listen addr |
Cloud auth: pass --use-implicit-auth for IAM/ADC/managed identity, or set AWS_ACCESS_KEY_ID/GOOGLE_APPLICATION_CREDENTIALS env vars.
Table Handling (--table-handling)
| Value | Behavior |
|---|---|
none (default) |
Append to existing tables |
drop-on-target-and-recreate |
Drop + recreate from source schema; enables auto schema creation. Destroys existing target tables and their data, so use only on fresh or empty targets |
truncate-if-exists |
Truncate before loading; errors if table missing |
Import Mode
IMPORT INTO (default): Table goes OFFLINE during load. Highest throughput.
COPY FROM (--use-copy): Table stays ONLINE. Use with --direct-copy. Cannot use compression.
# Zero-downtime load
molt fetch --source "..." --target "..." --direct-copy --use-copy
Key Flags
# Filtering
--table-filter "customers|orders" # POSIX regex for tables to include
--table-exclusion-filter "temp_.*" # exclude pattern
--schema-filter "public" # PostgreSQL only
# Performance
--table-concurrency 4 # parallel tables (default: 4)
--export-concurrency 4 # export threads (default: 4)
--row-batch-size 100000 # rows per SELECT (default: 100k)
# Schema
--type-map-file "types.json" # custom type mappings
--transformations-file "transforms.json" # column exclusions, table aliases
# Logging
--log-file "migration.log" # or "stdout"
--logging debug # info (default), debug, trace
--metrics-listen-addr "0.0.0.0:3030" # Prometheus scrape endpoint
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 132 lines · 53 tokens per session scan A d5e3630a1eaa
molt-fetch is a skill published in the GitHub repository cockroachlabs/cockroachdb-skills (21 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 53 tokens to every session and 1,287 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 2026-08-30.
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