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 sruthir28/enterprise-ai-skills --skill scpr-frameworkgit clone --depth 1 https://github.com/sruthir28/enterprise-ai-skillsWrote 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/sruthir28/enterprise-ai-skills/scpr-framework)<a href="https://agentmods.dev/skills/sruthir28/enterprise-ai-skills/scpr-framework"><img src="https://agentmods.dev/badge/skills/sruthir28/enterprise-ai-skills/scpr-framework/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/sruthir28/enterprise-ai-skills/scpr-framework"><img src="https://agentmods.dev/badge/skills/sruthir28/enterprise-ai-skills/scpr-framework.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 | $0.00071 | $0.00956 |
| Opus 5.5 | $0.00028 | $0.00382 |
| Sonnet 5.5 | $0.00014 | $0.00191 |
| Haiku 4.5 | $0.00007 | $0.00096 |
Grade A, and why
scpr-framework 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 — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SCPR Framework
A structured approach to problem-solving and executive communication used in management consulting.
Framework Components
S - Situation: Current state of the market/business
- What is the lay of the land?
- Establish baseline context
- Describe the stable environment before changes
C - Complication: Recent shift or change
- What has changed recently?
- New market dynamics (AI boom, regulatory changes, competitive threats)
- The catalyst that creates urgency
P - Problem: Crisp question to solve
- What specific strategic question must be answered?
- Common examples: "How to grow revenue?", "How to enter new market?", "How to reduce costs?"
- Must be specific and answerable
R - Recommendation: Proposed actions
- What should be done and by when?
- Priority actions to address the problem
- Can be structured as issue tree branches (doesn't have to be only high-priority items)
- Specific, actionable, time-bound
Core Principles
MECE (Mutually Exclusive, Collectively Exhaustive)
- Recommendations should not overlap
- Together they should cover all necessary actions
- Each recommendation addresses distinct aspect of the problem
Clarity
- Each section should be concise
- Problem statement must be answerable
- Recommendations must be actionable
Example: Tech Startup Product Pivot
Situation Series B SaaS startup with $15M ARR selling project management software to creative agencies and marketing firms. Product focuses on task management, resource allocation, and client collaboration. 200 agency customers with average contract size $75K. Historically strong product-market fit with 25% YoY growth and 90% gross retention.
Complication AI-powered tools like ChatGPT, Notion AI, and Claude emerging as workflow automation alternatives. Customer usage metrics declining 15% over last 6 months. Exit interviews reveal agencies using AI for project briefs, status updates, and resource planning - core features of current product. Three enterprise deals ($500K pipeline) paused citing "evaluating AI-first solutions."
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 · 100 lines · 71 tokens per session scan A afdcee93d176
scpr-framework is a skill published in the GitHub repository sruthir28/enterprise-ai-skills (158 stars, last pushed 1mo ago), licensed MIT. It adds 71 tokens to every session and 956 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 2026-08-30.
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