call-command-from-code

Guidance for running a Cratis Arc command directly from backend code through its command pipeline. The pipeline performs the same authorization and validation steps used at the HTTP boundary.

In plain words
What is it for?
Use it from reactors, background or scheduled jobs, integration tests, or backend services that need to execute a command.
Why use it?
It lets backend processes trigger commands without sending an HTTP request while keeping the command's normal checks.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/cratis/ai/call-command-from-code
Any agent
npx skills add Cratis/AI --skill call-command-from-code
Clone the repo
git clone --depth 1 https://github.com/Cratis/AI

Made for: Claude Code, Codex.

Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 954 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00066 $0.00954
Opus 5 $0.00033 $0.00477
Sonnet 5 $0.00013 $0.00191
Haiku 4.5 $0.00007 $0.00095

Measured yesterday against content hash 4fb567fb9b9c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

call-command-from-code 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 yesterday.

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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.ai/skills/call-command-from-code/SKILL.md · 82 lines

How it starts

The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Call a Command from Code

Backend code can drive a command through ICommandPipeline instead of an HTTP request. The pipeline runs the same authorization → validation → Provide()Handle() chain as the HTTP boundary — only the entry point changes. Common callers: a reactor spawning a follow-up command, a background/scheduled job, an integration test harness.

Inside Handle() wanting to append to a different stream, do not inject IEventLog — return IEnumerable<object> with EventForEventSourceId(targetId, @event) wrappers (see vertical-slices.md). ICommandPipeline is for command-shaped invocations that need validation/authorization.

Steps

1. Inject and execute (scopeless overload)

public class <Source>Handler(ICommandPipeline pipeline) : IReactor
{
    [OnceOnly]
    public Task <Source>Created(<Source>Created @event, EventContext context) =>
        pipeline.Execute(new <TargetCommand>(@event.SourceId, @event.Name));
}

Execute(command) is the scopeless overload — the pipeline manages its own DI scope per call. This is the normal case.

2. Scoped overload — only when needed

Execute(command, serviceProvider) reuses the caller's ambient DI scope. Use it only when the handler genuinely depends on resolving something from that scope (e.g. a scoped DB session). Most callers don't need it.

3. Typed result

var result = await pipeline.Execute<RegistrationToken>(new Register(...));
if (result.IsSuccess) { var token = result.Response; }

4. Pre-flight Validate

await pipeline.Validate(command) runs authorization + validation without executing Provide()/Handle() — useful to confirm validity before committing to side effects. Scoped overload available.

Validation severity filtering: both Execute and Validate take an optional allowedSeverity of type ValidationResultSeverity? (from Cratis.Arc.Validation) — pipeline.Execute(command, allowedSeverity: ValidationResultSeverity.Warning). The levels are Unknown=0, Information=1, Warning=2, Error=3; by default only Error blocks, and failures at or below allowedSeverity are filtered out (so passing Warning lets warnings through but still blocks errors).

Read the full file on GitHub · 82 lines

Changes

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.

  1. yesterday First seen · 82 lines · 66 tokens per session scan A 4fb567fb9b9c

Subscribe to this mod's changes

call-command-from-code is a skill published in the GitHub repository Cratis/AI (2 stars, last pushed 3d ago), licensed MIT. It adds 66 tokens to every session and 954 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 2026-08-31.

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