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 d-padmanabhan/agent-engineering-handbook --skill agent-workflowgit clone --depth 1 https://github.com/d-padmanabhan/agent-engineering-handbookWrote 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/d-padmanabhan/agent-engineering-handbook/agent-workflow)<a href="https://agentmods.dev/skills/d-padmanabhan/agent-engineering-handbook/agent-workflow"><img src="https://agentmods.dev/badge/skills/d-padmanabhan/agent-engineering-handbook/agent-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/d-padmanabhan/agent-engineering-handbook/agent-workflow"><img src="https://agentmods.dev/badge/skills/d-padmanabhan/agent-engineering-handbook/agent-workflow.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
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 →
- medium Agent Snooping · line 99 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00071 | $0.00978 |
| Opus 5.5 | $0.00028 | $0.00391 |
| Sonnet 5.5 | $0.00014 | $0.00196 |
| Haiku 4.5 | $0.00007 | $0.00098 |
Grade A, and why
agent-workflow scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Workflow
Mandatory classification, approval, scope, implementation, and review gates are owned by the workflow rule (${HANDBOOK_ROOT}/rules/010-workflow.mdc). This skill owns detailed procedures and templates.
Golden Rules
Follow this three-phase approach for all non-trivial work:
- PLAN → Design solution → Document approach → WAIT FOR EXPLICIT APPROVAL
- IMPLEMENT → Code ONLY what was approved → STOP when agreed scope is complete
- REVIEW → Verify results → Suggest improvements → Return to PLAN phase
Critical Violations to Avoid
- DON'T DO THIS:
User: "Can you add authentication?"
AI: [Immediately starts coding without discussion]
+ DO THIS INSTEAD:
User: "Can you add authentication?"
AI: "Let me design a solution first. Key decisions needed:
- OAuth 2.0 vs local authentication?
- JWT tokens vs session-based?
- User data storage location?
Let's agree on the approach before I write any code."
Why This Matters:
- Skipping planning → Wasted time, wrong solutions, scope creep
- Implementing unplanned features → Breaking existing code, technical debt
- Not stopping after agreed scope → Confusion, frustration, rework
Complexity Levels
| Level | Type | Workflow | Example |
|---|---|---|---|
| 1 | Simple | Direct implementation → Quick review | Fix typo, simple bug fix |
| 2 | Moderate | Brief plan → QA → Implement → Review | Add new function |
| 3 | Complex | Full Plan → Creative → QA → Implement → Review | Multi-file feature |
| 4 | Architectural | Detailed Plan → Creative (mandatory) → QA → Implement → Review | Major refactoring |
Phase 1: Planning
You MUST NOT begin implementation until:
- User has explicitly approved the plan
- All clarifying questions have been answered
- The scope is clearly defined and agreed upon
Process:
- Analyze the request - understand scope, constraints, requirements
- Check existing code - look for patterns and reusable components
- Design the solution - propose approach with alternatives
- WAIT FOR APPROVAL - present plan and await confirmation
What ships with it
8 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.
- 1mo ago First seen · 116 lines · 71 tokens per session scan A 138c3ea43245
agent-workflow is a skill published in the GitHub repository d-padmanabhan/agent-engineering-handbook (19 stars, last pushed 6d ago), licensed MIT. It adds 71 tokens to every session and 978 once invoked, about $0.0003 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 2026-09-03.
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