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-config-and-flags/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-config-and-flags)<a href="https://agentmods.dev/skills/radiantlogicinc/fastworkflow/fastworkflow-config-and-flags"><img src="https://agentmods.dev/badge/skills/radiantlogicinc/fastworkflow/fastworkflow-config-and-flags/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-config-and-flags"><img src="https://agentmods.dev/badge/skills/radiantlogicinc/fastworkflow/fastworkflow-config-and-flags.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 76 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 216 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
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 | $0.00185 | $0.08508 |
| Opus 5.5 | $0.00074 | $0.03403 |
| Sonnet 5.5 | $0.00037 | $0.01702 |
| Haiku 4.5 | $0.00018 | $0.00851 |
Grade A, and why
fastworkflow-config-and-flags 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 — 352 lines — stays where its author put it; the contents beside it link to each section on GitHub.
fastWorkflow Configuration and Flags Catalog
Facts verified 2026-07-09 against v2.22.2 (commit c33b9a5). Every file:line below was checked against the working tree on that date. If you are reading this later, run the re-verification commands in "Provenance and maintenance" before trusting line numbers.
Jargon, defined once:
- dotenv file — a
KEY=valuetext file parsed bypython-dotenv'sdotenv_values(). It is NOT automatically exported to the process environment. - LiteLLM — the multi-provider LLM client library; model strings look like
mistral/mistral-small-latest. LiteLLM Proxy — a separate gateway server; model strings get thelitellm_proxy/prefix and calls go toLITELLM_PROXY_API_BASE. - DSPy — the LLM-programming library fastWorkflow uses for agent/planner/param-extraction
calls;
dspy.LMwraps a LiteLLM model string. - LLM role — fastWorkflow assigns a separate model + API key pair per job (agent, planner, parameter extraction, synthetic data generation, ...), so each role can use a different model.
When to use / when NOT to use
Use this skill when you need to:
- Look up any env var: its default, consumer, and sharp edges (Section 3).
- Understand why a shell
exportis ignored (Section 2 — the precedence trap). - Look up a CLI subcommand/flag, including the ones the
--helptext lies about (Section 5). - Add a new env var or CLI flag correctly (Section 7 checklist).
Use a sibling skill instead when you need:
- fastworkflow-run-and-operate — actually running workflows/the server; artifact layout; endpoints.
- fastworkflow-build-and-env — creating the dev environment from scratch; provisioning secrets.
- fastworkflow-nlu-pipeline-reference — what the LLM roles and intent models do.
- fastworkflow-debugging-playbook — symptom-first triage when you don't yet know it's config.
- fastworkflow-change-control — whether you are allowed to change a default.
1. The two-dotenv-file contract
What ships with it
2 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 · -2 lines 82fdeedf448a
- 25d ago Changed · +1 lines 6913b4ef42f3
- 1mo ago Changed · +30 lines e3339127223d
- 2mo ago First seen · 323 lines · 185 tokens per session scan A 01879db2498e
fastworkflow-config-and-flags is a skill published in the GitHub repository radiantlogicinc/fastworkflow (52 stars, last pushed 13d ago), licensed Apache-2.0. It adds 185 tokens to every session and 8,508 once invoked, about $0.0007 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-config-and-flags compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| fastworkflow-config-and-flagsradiantlogicinc/fastworkflow | Skill | 52 | 13d ago | Apache-2.0 | A | 185 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |