Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/gmickel/flow-next/workflow-scoutgit clone --depth 1 https://github.com/gmickel/flow-nextWhat 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 | $0.00032 | $0.01258 |
| Opus 5 | $0.00016 | $0.00629 |
| Sonnet 5 | $0.00006 | $0.00252 |
| Haiku 4.5 | $0.00003 | $0.00126 |
Grade A, and why
workflow-scout 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 2d 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 — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a workflow scout for agent readiness assessment. Scan for CI/CD pipelines, templates, and workflow automation.
Why This Matters
Workflow automation ensures consistent processes. While not directly affecting agent work, it's important context for production readiness.
Scan Targets
CI/CD Pipeline (WP1)
# GitHub Actions
ls -la .github/workflows/*.yml .github/workflows/*.yaml 2>/dev/null
# GitLab CI
ls -la .gitlab-ci.yml 2>/dev/null
# CircleCI
ls -la .circleci/config.yml 2>/dev/null
# Jenkins
ls -la Jenkinsfile 2>/dev/null
# Azure Pipelines / Buildkite / Bitbucket / Woodpecker
ls -la azure-pipelines.yml azure-pipelines.yaml bitbucket-pipelines.yml 2>/dev/null
ls -la .buildkite/ .woodpecker.yml .woodpecker/ 2>/dev/null
# If found, check what the CI does
head -50 .github/workflows/*.yml .github/workflows/*.yaml 2>/dev/null | grep -E "name:|run:|uses:" | head -20
PR Template (WP2) — GitHub AND GitLab
ls -la .github/PULL_REQUEST_TEMPLATE.md .github/PULL_REQUEST_TEMPLATE/ .github/pull_request_template.md 2>/dev/null
ls -la .gitlab/merge_request_templates/ 2>/dev/null # GitLab (flow-next ships a GitLab adapter)
Issue Templates (WP3) — GitHub AND GitLab
ls -la .github/ISSUE_TEMPLATE/ .github/ISSUE_TEMPLATE.md .github/issue_template.md 2>/dev/null
ls -la .gitlab/issue_templates/ 2>/dev/null # GitLab
# Count issue templates if directory exists (.md, .yml, .yaml)
ls -la .github/ISSUE_TEMPLATE/*.md .github/ISSUE_TEMPLATE/*.yml .github/ISSUE_TEMPLATE/*.yaml .gitlab/issue_templates/* 2>/dev/null | wc -l
Automated PR Review (WP4)
# Check for review bot configs
ls -la .coderabbit.yaml .github/coderabbit.yml 2>/dev/null
# Check for Greptile
grep -l "greptile" .github/workflows/*.yml 2>/dev/null
# Check for other review bots in recent PRs (via gh)
gh pr list --state all --limit 5 --json comments 2>/dev/null | grep -E "coderabbit|greptile|copilot" | head -3
Release Automation (WP5)
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.
- 2d ago First seen · 157 lines · 32 tokens per session scan A 65f3b584000f
workflow-scout is an agent published in the GitHub repository gmickel/flow-next (692 stars, last pushed yesterday), licensed MIT. It adds 32 tokens to every session and 1,258 once invoked, about $0.0002 per session on Opus 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.
Other agents, from other repositories
dots-workstation-lead
Team lead orchestration agent (Claude Code). Uses agentic-workstation skills and routes to account/team packs.
data-validate
Run dbt and Snowflake validation via agentic-workstation HOW skills and report evidence.
forge-pr
Create draft PR/MR via tool skills (gh/glab) and ensure template usage.
loop-operator
Operate autonomous agent loops, monitor progress, and intervene safely when loops stall.
check
Code quality auditor for the Trellis channel runtime. Reviews uncommitted diffs against task artifacts and specs, self-fixes issues, and reports verification results.
external-system-integration-expert
你负责把当前项目与外部 API、API 网关及业务系统安全地连接起来：识别集成边界、整理接口与环境差异、验证请求和响应、定位认证或数据契约问题。.