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 Khalilzhang0825/boring-is-all-you-need --skill steadyagent-workflowgit clone --depth 1 https://github.com/Khalilzhang0825/boring-is-all-you-needWrote 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/khalilzhang0825/boring-is-all-you-need/steadyagent-workflow)<a href="https://agentmods.dev/skills/khalilzhang0825/boring-is-all-you-need/steadyagent-workflow"><img src="https://agentmods.dev/badge/skills/khalilzhang0825/boring-is-all-you-need/steadyagent-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/khalilzhang0825/boring-is-all-you-need/steadyagent-workflow"><img src="https://agentmods.dev/badge/skills/khalilzhang0825/boring-is-all-you-need/steadyagent-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 Memory Poisoning · line 16 Skill injects content designed to persist in agent memory or context across interactions. Persistent injection can alter agent behavior long after the initial interaction.Fix: Do not allow untrusted input to persist in agent memory or context. Validate all content before storing and implement memory isolation between sessions.
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 | $0.00064 | $0.00824 |
| Opus 5 | $0.00032 | $0.00412 |
| Sonnet 5 | $0.00013 | $0.00165 |
| Haiku 4.5 | $0.00006 | $0.00082 |
Grade A, and why
steadyagent-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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Boring Is All You Need Workflow
Use this skill to structure non-trivial AI coding agent work. Keep the main context lean: use this file for the workflow, and load references only when the task needs them.
Decision Gate
- Simple task: answer or edit directly, then verify with the smallest useful check.
- Ambiguous task: diagnose first; state missing information, assumptions, and likely paths.
- Bug task: reproduce or find observable evidence before proposing a fix.
- Multi-step task: use the staged workflow below.
- Rule, prompt, release, or skill design: keep permanent instructions short and move detailed knowledge to references.
Staged Workflow
-
Diagnose
- Read the current AGENTS.md, README, task docs, and directly relevant code.
- Identify the time scale: short-term stopgap, transitional workflow, or long-term system.
- Surface conflicts instead of blending incompatible requirements or conventions.
-
Plan
- State goal, scope, likely files, verification, and risks.
- Prefer the smallest viable path.
- For multiple viable approaches, list tradeoffs and recommend one.
-
Implement
- Make surgical changes only.
- Reuse existing patterns, scripts, tools, skills, and APIs.
- Avoid new dependencies unless existing capabilities are insufficient.
-
Verify
- Verify behavior, not just test status.
- Use the smallest relevant tests, static checks, render checks, or manual acceptance steps.
- If verification fails, analyze why before changing direction.
-
Review
- For risky work, run an independent review or subagent pass.
- Check edge cases, permissions, concurrency, caching, migration, rollback, and test gaps.
- Record only durable decisions and validation results.
-
Checkpoint
- Re-run the relevant gate.
- Review Git status and diff.
- Create a scoped checkpoint commit when validation passes.
Reference Loading
Load only what the task needs:
references/operating-principles.md: when designing workflows, AGENTS.md, stage gates, or long-running collaboration rules.references/karpathy-guardrails.md: when writing, reviewing, refactoring, or debugging code and overengineering/scope creep is a risk.references/mnilax-extensions.md: when tasks involve conflicting conventions, flaky tests, long loops, partial failures, or deterministic runtime decisions.references/prompt-recipes.md: when the user asks for reusable prompts or when a task would benefit from a precise prompt template.
What ships with it
5 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.
- 11d ago First seen · 83 lines · 64 tokens per session scan A b27633c50f29
steadyagent-workflow is a skill published in the GitHub repository Khalilzhang0825/boring-is-all-you-need (176 stars, last pushed 1mo ago), licensed MIT. It adds 64 tokens to every session and 824 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 2026-08-30.
Other skills, from other repositories
ackit-workflow
Enforce the ACKit docs-first, task-first workflow with one active checklist item and evidence-based completion.
ackit-policy-authoring
Author layered ackit policy files with deterministic merge, scoping and lockable rules.
ackit-context-optimization
Build budgeted context packs and trim instruction bloat for coding agents.
ackit-scan-and-fix
Run ACKit scan, interpret findings by severity, and apply safe fixes with suppression hygiene.
implementation-loop
Disciplined plan-build-verify loop for implementing a feature or change. Use when building something new or modifying existing behavior, especially across multiple files.
debugging-loop
Systematic reproduce-isolate-fix-verify loop for bugs, test failures, and unexpected behavior. Use when something is broken and the cause is not yet known.