fastworkflow: Skill for Claude Code

.claude/skills/fastworkflow-debugging-playbook/SKILL.md

fastworkflow-debugging-playbook is a skill for Claude Code from radiantlogicinc/fastworkflow. It costs 210 tokens per session (8,167 once invoked), scanned C, original, Apache-2.0.

A troubleshooting guide for fastWorkflow's runtime, build, and training failures, organized from symptoms to likely causes and fixes.

In plain words
What is it for?
Use it to diagnose current fastWorkflow failures and choose checks or fixes based on the observed error.
Why use it?
It provides a focused path for investigating problems such as wrong command matching, missing model files, repeated retraining, or stuck parameter extraction.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions CLAUDE.md; mentions AGENTS.md.

This is radiantlogicinc/fastworkflow's own configuration. It tells Claude Code how to work on fastworkflow itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything fastworkflow configures →

Reuse

Borrowing it

Nothing to install: this file belongs to radiantlogicinc/fastworkflow. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/radiantlogicinc/fastworkflow/main/.claude/skills/fastworkflow-debugging-playbook/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/radiantlogicinc/fastworkflow

Made for: Claude Code.

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 fastworkflow-debugging-playbook

README.md
[![agentmods](https://agentmods.dev/badge/skills/radiantlogicinc/fastworkflow/fastworkflow-debugging-playbook/github.svg)](https://agentmods.dev/skills/radiantlogicinc/fastworkflow/fastworkflow-debugging-playbook)
Your own site
<a href="https://agentmods.dev/skills/radiantlogicinc/fastworkflow/fastworkflow-debugging-playbook"><img src="https://agentmods.dev/badge/skills/radiantlogicinc/fastworkflow/fastworkflow-debugging-playbook/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.

agentmods 80×15 button for fastworkflow-debugging-playbook

Your own site · 80×15
<a href="https://agentmods.dev/skills/radiantlogicinc/fastworkflow/fastworkflow-debugging-playbook"><img src="https://agentmods.dev/badge/skills/radiantlogicinc/fastworkflow/fastworkflow-debugging-playbook.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 210 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 8,167 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00210 $0.08167
Opus 5.5 $0.00084 $0.03267
Sonnet 5.5 $0.00042 $0.01633
Haiku 4.5 $0.00021 $0.00817

Measured 2mo ago against content hash 7d12baecf045, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

fastworkflow-debugging-playbook scanned grade C with 1 finding 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 2mo 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.

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

| T9 | LLM outputs look frozen — refine/agent/param-extraction returns identical answers despite prompt/code changes | DSPy disk/memory cache serving stale completions | Delete or disable the cache and re-run; if output
.claude/skills/fastworkflow-debugging-playbook/SKILL.md · 341 lines

How it starts

The opening of the file, as written. The whole thing — 341 lines — stays where its author put it; the contents beside it link to each section on GitHub.

TEAM-PRIVATE: embeds content from uncommitted internal docs. Do not commit or publish this skill without the developer'sexplicit approval.

fastWorkflow Debugging Playbook

Runbook for diagnosing fastWorkflow failures. Written against v2.22.2 (commit c33b9a5). Every file:line below was verified against that tree; re-verification one-liners are in Provenance and maintenance.

When to use / when NOT to use

Use when something is broken and you need symptom → cause → discriminating experiment → fix.

Do NOT use — go to a sibling instead:

Need Sibling skill
Full incident chronicles (root cause + evidence + status) fastworkflow-failure-archaeology
What every env var / CLI flag does fastworkflow-config-and-flags
How to run CLI/examples/FastAPI server normally fastworkflow-run-and-operate
Measurement scripts and interpretation guides fastworkflow-diagnostics-and-tooling
Intent/param-extraction internals (models, thresholds, DSPy) fastworkflow-nlu-pipeline-reference
Adding tests, what counts as evidence fastworkflow-validation-and-qa
Change gating / non-negotiables before you fix anything fastworkflow-change-control
tau2/tau-bench experiment work (E0–E25) tau2-reliability-campaign

Jargon (defined once)

  • Workflow: a directory with _commands/*.py command files; fastWorkflow wraps your app with it.
  • CME: the internal command_metadata_extraction workflow (in fastworkflow/_workflows/) that runs intent detection + parameter extraction as a pseudo-command named wildcard. Every session owns a private CME workflow instance.
  • WEC: WorkflowExecutionContext (fastworkflow/workflow_execution_context.py) — the transport-free execution core. One user message in, one turn out.
  • Topology A / B: A = CLI ChatSession with queues + a worker thread (blocking ask_user); B = bare WEC embedded by FastAPI (ask_user suspends and resumes on the next message).
  • ___command_info/: per-workflow trained artifacts — command_directory.json, routing_definition.json, <cmd>_param_labeled.json, and per-context model folders (tinymodel.pth/, largemodel.pth/, label_encoder.pkl, threshold.json).
  • ___convo_info/: per-workflow runtime NLU caches (learned utterance→command mappings, suggested commands) in RocksDB (speedict.Rdict) files.
  • Fingerprint: sha256 over the set of (path, size, mtime_ns) of all command sources, stamped into the two JSON artifacts (v2.22.1) so stale snapshots are rebuilt.
  • NOT_FOUND: sentinel string (from env var NOT_FOUND) meaning "parameter not extracted yet"; extraction control-flow branches on it.
  • DSPy: LLM-programming library used for parameter extraction and the agent; it caches LLM calls on disk (~/.dspy_cache for dspy 3.2.1).

Read the full file on GitHub · 341 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 2mo ago First seen · 341 lines · 210 tokens per session scan C 7d12baecf045

Subscribe to this mod's changes

fastworkflow-debugging-playbook is a skill published in the GitHub repository radiantlogicinc/fastworkflow (52 stars, last pushed 13d ago), licensed Apache-2.0. It adds 210 tokens to every session and 8,167 once invoked, about $0.0008 per session on Opus 5.5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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