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.
curl -O https://raw.githubusercontent.com/radiantlogicinc/fastworkflow/main/.claude/skills/fastworkflow-diagnostics-and-tooling/SKILL.mdgit clone --depth 1 https://github.com/radiantlogicinc/fastworkflowWrote 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/skills/radiantlogicinc/fastworkflow/fastworkflow-diagnostics-and-tooling)<a href="https://agentmods.dev/skills/radiantlogicinc/fastworkflow/fastworkflow-diagnostics-and-tooling"><img src="https://agentmods.dev/badge/skills/radiantlogicinc/fastworkflow/fastworkflow-diagnostics-and-tooling/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/skills/radiantlogicinc/fastworkflow/fastworkflow-diagnostics-and-tooling"><img src="https://agentmods.dev/badge/skills/radiantlogicinc/fastworkflow/fastworkflow-diagnostics-and-tooling.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00202 | $0.05074 |
| Opus 5.5 | $0.00081 | $0.02030 |
| Sonnet 5.5 | $0.00040 | $0.01015 |
| Haiku 4.5 | $0.00020 | $0.00507 |
Grade A, and why
fastworkflow-diagnostics-and-tooling 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 13d 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.
How it starts
The opening of the file, as written. The whole thing — 309 lines — stays where its author put it; the contents beside it link to each section on GitHub.
fastWorkflow diagnostics and tooling — measure, don't eyeball
Runbook for observing what a fastWorkflow workflow actually did and what state
its artifacts are actually in. Ships four tested, read-only scripts in
scripts/ plus a map of every observability surface the framework already
has. All paths are repo-relative to the fastWorkflow repo root; all facts
verified against v2.22.2 (commit c33b9a5).
When to use / when NOT to use
Use this skill when you need to:
- dump/inventory a workflow's
___command_info/(commands, utterance counts, thresholds, model files, DSPy few-shot artifacts) - decide "rebuild vs stale vs fine" for
command_directory.json/routing_definition.json(the v2.22.1 fingerprint) - capture or read a turn's command trace: live CLI traces, the per-workflow
observability.sqlite3(turns + spans + artifacts), the server response'stracesfield,TurnOutput - get numbers on a trained intent classifier (per-command accuracy on seeds, confusion pairs, ambiguity/fallback rates)
- control logging verbosity, inspect the DSPy cache, or use the K8s probes
Do NOT use this skill for — go to the sibling instead:
| Need | Sibling skill |
|---|---|
| symptom → root-cause triage of a failure | fastworkflow-debugging-playbook |
| how the BERT two-tier/threshold/DSPy pipeline works | fastworkflow-nlu-pipeline-reference |
| env var / CLI flag catalog and defaults | fastworkflow-config-and-flags |
| starting the CLI / FastAPI+MCP server, artifact locations | fastworkflow-run-and-operate |
| what counts as evidence, adding tests | fastworkflow-validation-and-qa |
| pass^k / variance / attribution math | fastworkflow-proof-and-analysis-toolkit |
| running tau2 experiments E0–E25 | tau2-reliability-campaign |
| whether a change is allowed at all | fastworkflow-change-control |
Ground rules (non-negotiable)
- Everything here is read-only. The shipped scripts never write. When a
diagnosis leads you to retrain, train into a temp copy of the workflow —
never let anything (tests, experiments, teardown) touch
fastworkflow/examples/*/___command_info. A training test once destroyed the pre-trained example models other tests silently depended on (the fix-0hb incident, fixed in commit fa97b48). - Never
git commit/pushdiagnostics output or anything else without Dhar's explicit request in that turn (team rule since 2026-07-08). - Use the repo venv interpreter:
.venv/bin/python.import fastworkflowtakes ~5–10 s (pulls dspy/torch); scripts note where that cost applies.
What ships with it
6 files 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.
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.
- 13d ago Changed · +1 lines 56a3862383a3
- 1mo ago Changed · +1 lines a6526f772c62
- 1mo ago Changed 5c4650de41d3
- 2mo ago First seen · 307 lines · 202 tokens per session scan A 3188cc175aa6
fastworkflow-diagnostics-and-tooling is a skill published in the GitHub repository radiantlogicinc/fastworkflow (52 stars, last pushed 13d ago), licensed Apache-2.0. It adds 202 tokens to every session and 5,074 once invoked, about $0.0008 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.
fastworkflow-diagnostics-and-tooling compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| fastworkflow-diagnostics-and-toolingradiantlogicinc/fastworkflow | Skill | 52 | 13d ago | Apache-2.0 | A | 202 | Claude Code |
| systematic-debuggingopen-metadata/OpenMetadata | Skill | 16k | yesterday | Apache-2.0 | A | 37 | Claude Code |
| log-error-digestzebbern/claude-code-guide | Skill | 4.7k | 3d ago | MIT | A | 71 | Claude Code, Codex |
| cwv-optimizeradobe/skills | Skill | 319 | yesterday | Apache-2.0 | A | 112 | Claude Code |
| ci-fixersipyourdrink-ltd/bernstein | Skill | 1.2k | yesterday | Apache-2.0 | A | 15 | Claude Code, Codex |
| incident-response-incident-responsermyndharis/antigravity-skills | Skill | 1.9k | 23d ago | MIT | A | 36 | Claude Code |
| triaging-web-analytics-supportPostHog/posthog | Skill | 41k | yesterday | none | A | 151 | Claude Code, Codex |