resolve-parameter-values

A fastWorkflow hook that checks a typed parameter against current data, such as a list of users, and fixes close matches or suggests likely ones.

In plain words
What is it for?
Use it for names, IDs, codes, or other values that must match a live list before a command runs.
Why use it?
It prevents small spelling differences from causing a valid request to fail as “not found.” It also avoids silently choosing when more than one match is possible.

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/radiantlogicinc/fastworkflow/resolve-parameter-values
Any agent
npx skills add radiantlogicinc/fastworkflow --skill resolve-parameter-values
Clone the repo
git clone --depth 1 https://github.com/radiantlogicinc/fastworkflow

Made for: Claude Code, Codex.

Per session 135 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,709 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 $0.00135 $0.01709
Opus 5 $0.00068 $0.00855
Sonnet 5 $0.00027 $0.00342
Haiku 4.5 $0.00014 $0.00171

Measured 3d ago against content hash d056f4302e4f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

resolve-parameter-values 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 3d 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/resolve-parameter-values/SKILL.md · 157 lines

How it starts

The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Resolving parameter values with db_lookup

A parameter the user types from memory will not match stored data exactly. db_lookup puts a resolution step between extraction and execution: an exact match passes, a close match is corrected silently, an ambiguous one comes back as suggestions, and a genuine miss falls through.

Declaring it

class Signature:
    class Input(BaseModel):
        user_name: str = Field(
            description="Name of a person",
            examples=['John', 'Jane Doe'],
            json_schema_extra={'db_lookup': True},
        )

The hook

A static method on the same Signature, dispatching on field name:

from fastworkflow.utils.signatures import DatabaseValidator

    @staticmethod
    def db_lookup(workflow: fastworkflow.Workflow,
                  field_name: str,
                  field_value: str) -> tuple[bool, str | None, list[str]]:
        if field_name == 'user_name':
            chatroom = workflow.command_context_for_response_generation
            key_values = chatroom.list_users()
            return DatabaseValidator.fuzzy_match(field_value, key_values)
        return (False, '', [])

One hook serves every db_lookup field on the command, so always dispatch on field_name and always return the neutral (False, '', []) for anything unrecognised.

Fetch the key set at call time from the live context — workflow.command_context_for_response_generation — never from a module-level constant. The valid set depends on where the user is.

The return contract

(matched, corrected_value, suggestions), and the three outcomes are genuinely different:

Return Effect
(True, value, []) the parameter is overwritten with value and validation continues
(False, None, [s1, s2]) the parameter is marked invalid; the caller is asked "Did you mean one of these …?"
(False, '', []) validation passes — absence from the key set is not by itself an error

Read the full file on GitHub · 157 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. 3d ago First seen · 157 lines · 135 tokens per session scan A d056f4302e4f

Subscribe to this mod's changes

resolve-parameter-values is a skill published in the GitHub repository radiantlogicinc/fastworkflow (52 stars, last pushed 6d ago), licensed Apache-2.0. It adds 135 tokens to every session and 1,709 once invoked, about $0.0007 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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