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.
git clone --depth 1 https://github.com/monte-carlo-data/mc-agent-toolkitWrote 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/commands/monte-carlo-data/mc-agent-toolkit/mc-validate)<a href="https://agentmods.dev/commands/monte-carlo-data/mc-agent-toolkit/mc-validate"><img src="https://agentmods.dev/badge/commands/monte-carlo-data/mc-agent-toolkit/mc-validate/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/commands/monte-carlo-data/mc-agent-toolkit/mc-validate"><img src="https://agentmods.dev/badge/commands/monte-carlo-data/mc-agent-toolkit/mc-validate.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 | $0.00009 | $0.00586 |
| Opus 5.5 | $0.00004 | $0.00234 |
| Sonnet 5.5 | $0.00002 | $0.00117 |
| Haiku 4.5 | $0.00001 | $0.00059 |
Grade A, and why
mc-validate 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 1mo 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
Parse $ARGUMENTS to decide which mode to run. The Monte Carlo Prevent skill defines four supported invocations:
| Invocation | Mode | Workflows |
|---|---|---|
| (empty) | default generate | W3 only |
generate |
explicit generate | W3 only |
run |
full validate | W4.1 (Build) → W4.2 (Execute) |
run --skip-build |
execute-only | W4.2 only |
run also accepts --dev-db <NAME> to bypass the dev-database prompt in W4.2. Flags can combine: run --skip-build --dev-db <NAME>.
run does not auto-generate. If no validation/<table>_<ts>.sql exists for the current session's changed models, abort and tell the engineer:
"No validation queries found for <table_name>. Run
/mc-validate(or/mc-validate generate) first to generate them, then re-run/mc-validate run."
Decision rules:
-
If
$ARGUMENTSis empty or starts withgenerate: generate-only mode. Run Workflow 3 from the Monte Carlo Prevent skill. Save queries tovalidation/<table_name>_<timestamp>.sql. At the end, always offer the four next-step options described in W3 step 6 ofreferences/workflows.md(say continue to auto-run/mc-validate run, run it yourself, run with--skip-build, or substitute<YOUR_DEV_DATABASE>and run manually). -
If
$ARGUMENTSstarts withrun: run mode.- Verify a
validation/<table>_<ts>.sqlexists for the current session's changed models. If none exist, abort with the message above. Do not run W3. - If
--skip-buildis not present: run Workflow 4.1 (Build), then Workflow 4.2 (Execute). - If
--skip-buildis present: skip W4.1 and run Workflow 4.2 directly. Assume the engineer built manually. - If
--dev-db <NAME>is present: pass<NAME>into W4.2 and skip its dev-database confirmation prompt.
- Verify a
-
Any other token after
runthat isn't--skip-buildor--dev-db <NAME>is an error — surface it to the engineer and stop.
Workflow definitions live in the Monte Carlo Prevent skill's references/workflows.md. Read that file before executing either mode.
Arguments: $ARGUMENTS
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.
- 1mo ago First seen · 35 lines · 9 tokens per session scan A 262cdeae7eac
mc-validate is a command published in the GitHub repository monte-carlo-data/mc-agent-toolkit (93 stars, last pushed yesterday), licensed Apache-2.0. It adds 9 tokens to every session and 586 once invoked, about $0.0000 per session on Opus 5.5. 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.
Other commands, from other repositories
pull
Refreshes local project state from a linked Supabase project or branch in one step, instead of running config pull, db pull, migration fetch, and functions download individually. It runs four steps, always in this order: pull config into supabase/config.toml, optionally fetch the remote migration history table into…
init
Initialize configurations for Supabase local development.
db-context-postgres
Validate that a non-Supabase Postgres database (Cloud SQL, RDS, self-hosted) is reachable, introspect a scoped subset of its schema, and persist it as DBCONTEXT.md. Read-only, opt-in. Use when work touches that database and planning needs verified schema, or DBCONTEXT.md is stale. Do not use without a task (run…
cleanup
Detect and remove orphaned code, unused components, dead routes, and stale database artifacts.
setup-bigquery.es
Command "setup-bigquery.es" from minicoohei/ai-agent-camp, covering configuración de autenticación bigquery / gcp, step 0: verificar el progreso de configuración, lo que hará en esta sesión, verificación de preparación and step 1: instalación de gcloud cli.
start-12-4
A guided lesson for creating files and workspace pages, either as simple pages or with body text supplied through a command pipeline.