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 skills add strikersam/autonomous-ai-agency --skill pro-workflowgit clone --depth 1 https://github.com/strikersam/autonomous-ai-agencyWrote 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/strikersam/autonomous-ai-agency/pro-workflow)<a href="https://agentmods.dev/skills/strikersam/autonomous-ai-agency/pro-workflow"><img src="https://agentmods.dev/badge/skills/strikersam/autonomous-ai-agency/pro-workflow/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/strikersam/autonomous-ai-agency/pro-workflow"><img src="https://agentmods.dev/badge/skills/strikersam/autonomous-ai-agency/pro-workflow.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 | $0.00054 | $0.01102 |
| Opus 5 | $0.00027 | $0.00551 |
| Sonnet 5 | $0.00011 | $0.00220 |
| Haiku 4.5 | $0.00005 | $0.00110 |
Grade A, and why
pro-workflow 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 11d 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 — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: pro-workflow
The 8 Core Patterns
| # | Pattern | Skill |
|---|---|---|
| 1 | Scout before you implement | scout agent |
| 2 | Plan before you code | implementation-planner |
| 3 | Test first | test-first-executor |
| 4 | Review before merge | council-review |
| 5 | Commit with quality gates | smart-commit |
| 6 | Persist corrections | learn-rule |
| 7 | Surface past patterns | replay-learnings |
| 8 | Hand off cleanly | wrap-up + session-handoff |
Workflow: Research → Plan → Implement
┌─────────────┐ ┌─────────────┐ ┌─────────────────┐
│ RESEARCH │────▶│ PLAN │────▶│ IMPLEMENT │
│ │ │ │ │ │
│ Scout scores│ │ Planner │ │ Phased execution│
│ readiness. │ │ breaks down │ │ Reviewer gates │
│ GO / HOLD │ │ steps. │ │ each checkpoint │
└─────────────┘ └─────────────┘ └─────────────────┘
│ │ │
Validation Validation Validation
gate: must gate: must gate: must
pass before pass before pass before
proceeding proceeding merge
Validation gate between each phase — must pass before proceeding.
Instructions
Phase 1 — Research (Scout)
- Invoke the Scout agent with the task description.
- If Scout returns HOLD: resolve each gap, then re-score.
- If Scout returns GO: proceed to Phase 2.
Scout checklist:
- [ ] Score ≥ 70 (GO verdict)
- [ ] Context mode selected (DEV / REVIEW / RESEARCH)
- [ ] No unresolved gaps
Phase 2 — Plan
- Run the
implementation-plannerskill (or/plancommand). - Review the plan for risky modules — invoke
risky-module-reviewif flagged. - Check
replay-learningsfor relevant past patterns before accepting the plan.
Plan checklist:
- [ ] Plan produced with ordered steps
- [ ] Risky modules flagged and reviewed
- [ ] Past learnings consulted
- [ ] Max 10 steps (split if more)
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.
- 11d ago First seen · 137 lines · 54 tokens per session scan A a96ea4c29354
pro-workflow is a skill published in the GitHub repository strikersam/autonomous-ai-agency (8 stars, last pushed today), licensed MIT. It adds 54 tokens to every session and 1,102 once invoked, about $0.0003 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 2026-08-31.
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