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 commands/datachain-ai/datachain/indexgit clone --depth 1 https://github.com/datachain-ai/datachainWhat 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 | $0.00000 | $0.00227 |
| Opus 5 | $0.00000 | $0.00113 |
| Sonnet 5 | $0.00000 | $0.00045 |
| Haiku 4.5 | $0.00000 | $0.00023 |
Grade A, and why
index 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 2d 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.
What it actually says
Using DataChain Commands
DataChain is a command-line tool for wrangling unstructured AI data at scale. Use datachain -h to list all available commands.
Typical DataChain Workflow
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Authentication with Studio
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Use
datachain auth loginto authenticate with Studio -
Set your default team with
datachain auth team -
View your token with
datachain auth token -
Log out from Studio with
datachain auth logout
-
-
Job Management
-
Run jobs in Studio with
datachain job run -
Monitor job logs with
datachain job logs -
Cancel running jobs with
datachain job cancel -
Check for the clusters available for jobs
datachain job clusters
-
-
Maintenance
- Clean up temporary tables, failed versions, and outdated checkpoints with
datachain gc
- Clean up temporary tables, failed versions, and outdated checkpoints with
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.
- 2d ago First seen · 41 lines · 0 tokens per session scan A 6643bbc9448e
index is a command published in the GitHub repository datachain-ai/datachain (2,814 stars, last pushed today), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 227 tokens. 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.
Other commands, from other repositories
review
Review the selected change and report evidence.
iteration-loop
Autonomous full iteration loop for cloud agents — Phase 1 (code-first auto direction lock + compass/plans + Review & Edit chain) through Phase 2–5 (execute → close → PR → merge-ready). Optional args: direction, scale (S|M|L|XL, default M). Not Done until Phase 5 exit checklist passes. Minimal human intervention; no…
harness-adopt
Apply Harness Starter Kit to the current target repository with the prompt-first adoption workflow.
meta-optimize
Analyze memory/ for staleness, contradictions, missing entries. Read-only.
validate
Validate the operating-model seed — manual binding, adapter drift, adoption state, checkpoint/evidence.
init
Initialise the planning seed and record the human team, roles, and escalation channels.