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 guoliang1114-boop/AriaAI --skill digital-strategygit clone --depth 1 https://github.com/guoliang1114-boop/AriaAIWrote 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/guoliang1114-boop/ariaai/digital-strategy)<a href="https://agentmods.dev/skills/guoliang1114-boop/ariaai/digital-strategy"><img src="https://agentmods.dev/badge/skills/guoliang1114-boop/ariaai/digital-strategy/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/guoliang1114-boop/ariaai/digital-strategy"><img src="https://agentmods.dev/badge/skills/guoliang1114-boop/ariaai/digital-strategy.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 | $0.00125 | $0.07948 |
| Opus 5.5 | $0.00050 | $0.03179 |
| Sonnet 5.5 | $0.00025 | $0.01590 |
| Haiku 4.5 | $0.00013 | $0.00795 |
Grade A, and why
digital-strategy 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 — 537 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Digital Strategy
Strategic planning for enterprise digital transformation. Produces structured strategic content covering vision, maturity assessment, gap analysis, target blueprint, implementation roadmap, and governance framework.
Workflow
Use the relevant steps for the user's actual request, not a mandatory interview or report template. A short question deserves a direct answer; a revision changes only the requested part and preserves agreed scope, constraints, and decisions. Explicit format, length, and time horizon take precedence over every default below.
Context and evidence contract
- Read available authorized project memory, selected documents, prior decisions, and the current conversation before asking for information already supplied. Do not broaden to unrelated projects when evidence is missing.
- Start with the decision the user needs. If a missing fact materially changes that decision, ask at most 1–3 focused questions; otherwise answer the supported portion and list the specific remaining gap. Do not require revenue, headcount, or IT spend for a quick qualitative question.
- Distinguish confirmed facts, proposed assumptions, and unknowns. Cite the document, date, or source behind client facts. If sources conflict, show the conflict and ask which governs; do not silently overwrite a prior decision.
- Missing evidence is not a license to invent maturity scores, budget, ROI, KPI baselines, owners, deadlines, or competitor results. Use “待评估 / 待确认” and name the input needed. A hypothetical scenario must be explicitly requested or grounded in stated inputs, with its calculation visible.
- Deliver the useful answer first, then a concrete next action. Do not claim a file exists until an available generation tool returns an artifact.
1. Diagnosis → Understand context, select framework, define scope
2. Current State → Assess digital maturity, identify pain points
3. Target State → Design digital vision, capability blueprint
4. Gap & Roadmap → Analyze gaps, define phases, set milestones
5. Governance → Design organization, investment, risk control
What ships with it
4 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 Changed · +18 lines 209b84dce08e
- 1mo ago First seen · 519 lines · 125 tokens per session scan A 482758875811
digital-strategy is a skill published in the GitHub repository guoliang1114-boop/AriaAI (40 stars, last pushed 12d ago), licensed MIT. It adds 125 tokens to every session and 7,948 once invoked, about $0.0005 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.
Other skills, from other repositories
datamodel-code-generator
Use this skill when the user wants Python data models, Pydantic models, dataclasses, TypedDicts, msgspec structs, or type-safe Python classes generated from OpenAPI, AsyncAPI, JSON Schema, GraphQL, JSON/YAML/CSV sample data, MCP tool schemas, Protocol Buffers, XML Schema, Apache Avro, or existing Python model objects.…
company-brain
How an agent should operate as one mind inside a shared Company Brain built on Caura — recall before acting, obey fleet keystones, reuse and publish skills, and report outcomes so every task compounds across the whole organization. Use this whenever you work as part of a Caura-connected team or fleet and your work…
secops-investigate
Expert guidance for deep security incident and entity investigations in Google SecOps. Use when investigating cases, analyzing entities (hosts, IPs, domains, hashes, users), extracting and searching UDM events, performing asset and user timeline analysis, and detecting lateral movement across enterprise networks.…
aws-incident-response
Investigate AWS credential compromise, STS session abuse, and API breaches; produce an evidence-backed timeline, containment plan, and incident handoff.
mastering-python-skill
Modern Python coaching covering language foundations through advanced production patterns. Use when asked to "write Python code", "explain Python concepts", "set up a Python project", "configure Poetry or PDM", "write pytest tests", "create a FastAPI endpoint", "run uvicorn server", "configure alembic migrations"…
Agent Management
Create, edit, upgrade, delete, and audit agents.