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-run-and-operate/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-run-and-operate)<a href="https://agentmods.dev/skills/radiantlogicinc/fastworkflow/fastworkflow-run-and-operate"><img src="https://agentmods.dev/badge/skills/radiantlogicinc/fastworkflow/fastworkflow-run-and-operate/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-run-and-operate"><img src="https://agentmods.dev/badge/skills/radiantlogicinc/fastworkflow/fastworkflow-run-and-operate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 5 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 72 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 308 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 201 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.
- medium Privilege Escalation · line 170 Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
- medium Tool Misuse · line 337 Tool defaults are unsafe or overly permissive (e.g. disabled TLS verification, no authentication, world-writable permissions). Unsafe defaults widen the attack surface.Fix: Override unsafe defaults with secure settings (verify=True, auth required, restrictive permissions). Review and harden all tool configurations.
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 | $0.00208 | $0.06935 |
| Opus 5 | $0.00104 | $0.03467 |
| Sonnet 5 | $0.00042 | $0.01387 |
| Haiku 4.5 | $0.00021 | $0.00694 |
Grade B, and why
fastworkflow-run-and-operate scanned grade B 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 9d 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
| `jwt_keys/` (CWD) | run_fastapi_mcp on first use | RSA-2048 keypair (jwt_manager.py:59) in `./jwt_keys` (jwt_manager.py:29-31), `private_key.pem` chmod 600 (jwt_manager.py:94) | Regenerated on next launch; deleting inv How it starts
The opening of the file, as written. The whole thing — 365 lines — stays where its author put it; the contents beside it link to each section on GitHub.
fastWorkflow: Run and Operate
Runbook for operating fastWorkflow v2.22.2: the fastworkflow CLI, the bundled examples, the
runtime artifacts on disk, and the FastAPI+MCP server. Every command, flag, path, and endpoint
below was verified against the code on 2026-07-09 (see Provenance at the end).
When to use / when NOT to use
Use this skill when you are running things: fetching examples, training-then-running a
workflow, choosing agent vs assistant mode, launching the HTTP/MCP server, interpreting its
status codes, or deciding which ___* directory is safe to delete.
Use a sibling instead when:
| Need | Sibling skill |
|---|---|
| Why intent detection / param extraction behaves as it does; model internals | fastworkflow-nlu-pipeline-reference |
| Every env var's default, consumers, sharp edges | fastworkflow-config-and-flags |
| Recreate the dev environment, secrets, poetry/venv | fastworkflow-build-and-env |
| tau-bench / tau2 mechanics, benchmark parity rules | fastworkflow-taubench-reference |
| Running the E0-E25 reliability experiments | tau2-reliability-campaign |
| A runtime failure you cannot triage from this page | fastworkflow-debugging-playbook |
| Whether a change to server/CLI code is allowed | fastworkflow-change-control |
| Architecture invariants behind the turns engine | fastworkflow-architecture-contract |
| Measuring instead of eyeballing (diagnostic scripts) | fastworkflow-diagnostics-and-tooling |
Jargon used below, defined once:
- Workflow — a directory with a
_commands/folder; the unit you build/train/run. - Command — one Python file in
_commands/wrapping a piece of app logic; the unit of intent. - Agent mode — an LLM ReAct agent plans and calls workflow commands as tools (default for
run). - Assistant mode — deterministic: your message goes straight through intent detection → parameter extraction → execution, no agent loop.
- Turn — one user message processed end-to-end, producing a
TurnOutput. - Channel — the server's session identity (
channel_id); one conversation stream per channel. - MCP — Model Context Protocol; the server auto-exposes selected endpoints as MCP tools at
/mcp.
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.
- 9d ago First seen · 365 lines · 208 tokens per session scan B a0fb30c3a262
fastworkflow-run-and-operate is a skill published in the GitHub repository radiantlogicinc/fastworkflow (52 stars, last pushed 5d ago), licensed Apache-2.0. It adds 208 tokens to every session and 6,935 once invoked, about $0.0010 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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