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 deciqAI/knowledge-skills --skill dynamic-core-competencegit clone --depth 1 https://github.com/deciqAI/knowledge-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/deciqai/knowledge-skills/dynamic-core-competence)<a href="https://agentmods.dev/skills/deciqai/knowledge-skills/dynamic-core-competence"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/dynamic-core-competence/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/deciqai/knowledge-skills/dynamic-core-competence"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/dynamic-core-competence.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 | $0.00114 | $0.02262 |
| Opus 5 | $0.00057 | $0.01131 |
| Sonnet 5 | $0.00023 | $0.00452 |
| Haiku 4.5 | $0.00011 | $0.00226 |
Grade A, and why
dynamic-core-competence 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 9d 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 — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dynamic Core Competence
Overview
Core competence (Prahalad & Hamel, 1990) becomes dynamic when you recognize that competences decay, markets change what they reward, and building sequence matters. The common failure: treating competence as a static asset — identify once, defend, leverage indefinitely. Leaders in one technology cycle become entrenched incumbents in the next, not because they stopped being competent but because the market stopped rewarding what they held.
Skill composition: Use AFTER [porters-five-forces] to know what the market structure rewards. Use WITH [second-order-thinking] to trace which competences become obsolete as markets evolve. Use BEFORE [okr-goal-setting] — OKRs must target specific competence dimensions.
When to Use
- Assessing whether a current competitive position will survive a technology or market inflection
- Allocating capability-building investment across multiple potential dimensions
- Pre-fundraising: articulating a specific, testable moat to investors
- Post-acquisition: diagnosing which acquired competences are genuinely core vs. will decay
- Any time someone says "our competitive advantage is [quality/service/brand]" without specifying the mechanism
When NOT to use:
- Operational decisions that do not affect competitive position
- Market too new to assess competence importance trajectories (use lean experimentation)
- Executing an already-defined capability investment (use project management)
Coaching Novices (Adaptive Front Door)
- Engine mode: user has a concrete case → run The Process directly.
- Coach mode: user is unfamiliar or describes advantage in generic terms ("we're customer-focused") → guide step by step.
In Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop.
- What-it-is: Inventory your competitive advantages, rate their decay speed and market importance in 3 years, sequence investment to build the ones that matter before you need them.
- Check fit: Is there a situation where you're unsure whether your position will hold — new entrant, tech shift, pricing pushback?
- Elicit their case: "What business are you thinking about? Name your actual advantages as specifically as possible — not 'great team' but what that team does that competitors don't." > [WAIT — do not advance until user responds]
- Run The Process one step at a time. Start with inventory only; generic claims must be decomposed before accepted. > [WAIT — do not advance until user responds]
- Close: Name which competences are genuinely durable, which are decaying faster than they thought, and which to build in the next 12 months. > [WAIT — do not advance until user responds]
What ships with it
2 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.
- 9d ago First seen · 123 lines · 114 tokens per session scan A 36f2744808a6
dynamic-core-competence is a skill published in the GitHub repository deciqAI/knowledge-skills (10 stars, last pushed 10d ago), licensed MIT. It adds 114 tokens to every session and 2,262 once invoked, about $0.0006 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 2026-09-03.
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