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 self-evolution-3dgit 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/self-evolution-3d)<a href="https://agentmods.dev/skills/deciqai/knowledge-skills/self-evolution-3d"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/self-evolution-3d/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/self-evolution-3d"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/self-evolution-3d.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
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 →
- high Memory Poisoning · line 76 Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
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 | $0.01926 |
| Opus 5 | $0.00057 | $0.00963 |
| Sonnet 5 | $0.00023 | $0.00385 |
| Haiku 4.5 | $0.00011 | $0.00193 |
Grade A, and why
self-evolution-3d 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 — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Self-Evolution 3D
Overview
Treats personal growth as three orthogonal dimensions — Height (mission vantage), Width (perspective breadth), Depth (self-awareness accuracy) — each with a distinct mechanism and failure mode. The goal is to identify the current growth constraint and prescribe the targeted move; optimizing all three simultaneously produces shallow movement on each.
Neighbor skills: after cognitive-evolution-stages for stage context; before metacognition if Depth is constrained; with deliberate-practice to design treatment; with nine-level-cognitive-tower for vertical context.
When to Use
- "I've been working hard but I'm not growing" / "how do I grow as a person / leader / founder?"
- Development programs produce knowledge but not capability change.
- High performer plateaued in leadership despite strong functional expertise.
- High-quality work not translating to organizational influence.
When NOT to use: specific functional skill gap (use deliberate-practice); acute crisis; external structural constraint; no honest external feedback available.
Coaching Novices (Adaptive Front Door)
- Engine mode: concrete case → run The Process directly.
- Coach mode: user unfamiliar or effort isn't producing change → 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.
- Introduce three axes: upward (mission/purpose), outward (new mental models), inward (real-time self-awareness). Ask which they spend most time on — usually the strongest, not the constraint.
- Ask which they spend least time on. Neglected = candidate constraint.
- "When you're stuck, what does it look like?" Map to: Height = purpose fog; Width = same framework on everything; Depth = same mistakes in retrospect.
[WAIT — do not advance until user responds]
- "Think of the last time you were stuck internally. Which dimension was under-resourced?"
[WAIT — do not advance until user responds]
- Prescribe one specific action this month on the constraint dimension only.
[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 · 124 lines · 114 tokens per session scan A 2494d8a1ffd5
self-evolution-3d 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 1,926 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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