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-validation-and-qa/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-validation-and-qa)<a href="https://agentmods.dev/skills/radiantlogicinc/fastworkflow/fastworkflow-validation-and-qa"><img src="https://agentmods.dev/badge/skills/radiantlogicinc/fastworkflow/fastworkflow-validation-and-qa/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-validation-and-qa"><img src="https://agentmods.dev/badge/skills/radiantlogicinc/fastworkflow/fastworkflow-validation-and-qa.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, 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.
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 | $0.00220 | $0.06189 |
| Opus 5.5 | $0.00088 | $0.02476 |
| Sonnet 5.5 | $0.00044 | $0.01238 |
| Haiku 4.5 | $0.00022 | $0.00619 |
Grade A, and why
fastworkflow-validation-and-qa 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 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.
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 — 218 lines — stays where its author put it; the contents beside it link to each section on GitHub.
fastWorkflow Validation and QA — what counts as evidence
TEAM-PRIVATE: embeds content from uncommitted internal docs. Do not commit or publish this skill without the developer'sexplicit approval.
Facts verified 2026-07-09 against v2.22.2 (commit c33b9a5). Re-verification commands are in the final section — run them before trusting any volatile number.
When to use / when NOT to use
| You want to... | Use |
|---|---|
| Run/interpret the pytest suite, add tests, protect golden artifacts, judge shipping evidence | this skill |
| Triage a runtime/build/train failure by symptom | fastworkflow-debugging-playbook |
Set up venv, keys, env/.env + passwords/.env from scratch |
fastworkflow-build-and-env |
| Launch the CLI / FastAPI+MCP server and see artifacts | fastworkflow-run-and-operate |
| Design pass^k experiments for the tau2 retail program (E0-E25) | tau2-reliability-campaign |
| Variance / pass^k math, attribution, calibration recipes | fastworkflow-proof-and-analysis-toolkit |
| The evidence lifecycle for research claims (hunch -> accepted result) | fastworkflow-research-methodology |
| Rules on what changes need approval; the non-negotiables | fastworkflow-change-control |
| Measure instead of eyeball (diagnostic scripts) | fastworkflow-diagnostics-and-tooling |
Jargon used below, defined once:
- Golden workflow — a small committed application in
tests/orfastworkflow/examples/that tests run against instead of mocks. ___command_info/— the directory of trained artifacts (BERT model dirstinymodel.pth/largemodel.pth,threshold.json,label_encoder.pkl, pluscommand_directory.json/routing_definition.json) thatfastworkflow trainwrites inside a workflow folder. Gitignored (.gitignorelines 2-5).- Env gating — tests that
pytest.skipthemselves unless local secret files exist. - pass@1 / pass^k — probability a task passes one run / passes ALL of k independent runs. pass^k is the reliability metric of the tau2 program.
- bd (beads) — the issue tracker;
bd show <id>is read-only and safe.
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.
- 2mo ago First seen · 218 lines · 220 tokens per session scan A d9c268e46385
fastworkflow-validation-and-qa is a skill published in the GitHub repository radiantlogicinc/fastworkflow (52 stars, last pushed 13d ago), licensed Apache-2.0. It adds 220 tokens to every session and 6,189 once invoked, about $0.0009 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-validation-and-qa compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| fastworkflow-validation-and-qaradiantlogicinc/fastworkflow | Skill | 52 | 13d ago | Apache-2.0 | A | 220 | Claude Code |
| research-engineerdavila7/claude-code-templates | Skill | 33k | yesterday | MIT | A | 43 | Claude Code, Codex |
| tika-eval-compareapache/tika | Skill | 4.1k | yesterday | Apache-2.0 | A | 50 | Claude Code, Codex |
| cua-driverdavidondrej/skills | Skill | 4.3k | 3d ago | MIT | A | 68 | Claude Code, Codex |
| jetson-validate-imageNVIDIA/skills | Skill | 3.9k | yesterday | Apache-2.0 | B | 50 | Claude Code, Codex |
| atmos-validationcloudposse/atmos | Skill | 1.4k | yesterday | Apache-2.0 | A | 31 | Claude Code |
| tddcodewithmukesh/dotnet-claude-kit | Skill | 805 | 2d ago | MIT | A | 81 | Claude Code |