validate-command-parameters

validate-command-parameters is a skill for Claude Code, Codex from radiantlogicinc/fastworkflow. It costs 133 tokens per session (1,496 once invoked), scanned A, original, Apache-2.0.

A fastWorkflow hook that checks the complete set of command parameters together before the command runs. It handles rules that single-field validation cannot, such as comparing dates or checking whether a selection is valid.

In plain words
What is it for?
Use it for cross-field rules, required combinations of fields, backend vocabulary checks, and other conditions that depend on the whole request.
Why use it?
It keeps invalid requests in the conversation with a useful message instead of allowing them to reach the command and become an exception.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it for cross-field rules, required combinations of fields, backend vocabulary checks, and other conditions that depend on the whole request.

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Install with agentmods
npx agentmods add skills/radiantlogicinc/fastworkflow/validate-command-parameters
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.

Any agent
npx skills add radiantlogicinc/fastworkflow --skill validate-command-parameters
Clone the repo
git clone --depth 1 https://github.com/radiantlogicinc/fastworkflow

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for validate-command-parameters

README.md
[![agentmods](https://agentmods.dev/badge/skills/radiantlogicinc/fastworkflow/validate-command-parameters/github.svg)](https://agentmods.dev/skills/radiantlogicinc/fastworkflow/validate-command-parameters)
Your own site
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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.

agentmods 80×15 button for validate-command-parameters

Your own site · 80×15
<a href="https://agentmods.dev/skills/radiantlogicinc/fastworkflow/validate-command-parameters"><img src="https://agentmods.dev/badge/skills/radiantlogicinc/fastworkflow/validate-command-parameters.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 133 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,496 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00133 $0.01496
Opus 5.5 $0.00053 $0.00598
Sonnet 5.5 $0.00027 $0.00299
Haiku 4.5 $0.00013 $0.00150

Measured 1mo ago against content hash 4e0cb26684db, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

validate-command-parameters 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.

fastworkflow/skills_for_coding_fastworkflows/validate-command-parameters/SKILL.md · 166 lines

How it starts

The opening of the file, as written. The whole thing — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Validating extracted parameters

Pydantic answers one field at a time: right type, matches the pattern, was supplied. It cannot answer the questions that only exist once the whole call is on the table — is this end date before its own start date, is anything actually selected for this bulk command to operate on, does this decision value exist in the backend's vocabulary. validate_extracted_parameters is where those go.

The contract

A static method on the command's Signature class:

class Signature:
    class Input(BaseModel):
        ...

    @staticmethod
    def validate_extracted_parameters(
        workflow: fastworkflow.Workflow,
        command: str,
        cmd_parameters: "Signature.Input",
    ) -> tuple[bool, str]:
        ...
        return (True, '')

Return (True, '') to proceed, or (False, message) to send message back to the caller. The hook is optional — a command without it simply skips this stage.

Where it runs in the order

The framework validates in this sequence, and stops at the first failure:

1. type coercion per field   str/int/float/bool/Enum/list, plus any `pattern`
2. missing required fields   sentinel values count as missing; empty list counts as missing
3. db_lookup per field       fuzzy resolution against a live key set
4. validate_extracted_parameters      <- only reached if 1-3 all passed

So this hook may assume every field is present and of the declared type. Do not re-check types, required-ness or regex here — declare those on the field and let stage 1 do it. What is left is exactly what the field declarations cannot express.

It is a correction hook, not just a check

The cmd_parameters object it receives is the one the command body will read, so writing to it is the intended way to normalise:

    @staticmethod
    def validate_extracted_parameters(workflow, command, cmd_parameters):
        if not cmd_parameters.order_id.startswith('#'):
            cmd_parameters.order_id = f'#{cmd_parameters.order_id}'
        return (True, '')

Read the full file on GitHub · 166 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. 1mo ago First seen · 166 lines · 133 tokens per session scan A 4e0cb26684db

Subscribe to this mod's changes

validate-command-parameters is a skill published in the GitHub repository radiantlogicinc/fastworkflow (52 stars, last pushed 6d ago), licensed Apache-2.0. It adds 133 tokens to every session and 1,496 once invoked, about $0.0005 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.

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