Borrowing it
Nothing to install: this file belongs to DDS-Solutions/AI-TadPole-OS. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/DDS-Solutions/AI-TadPole-OS/main/.agent/skills/behavioral-modes/SKILL.mdgit clone --depth 1 https://github.com/DDS-Solutions/AI-TadPole-OSWrote 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/dds-solutions/ai-tadpole-os/behavioral-modes)<a href="https://agentmods.dev/skills/dds-solutions/ai-tadpole-os/behavioral-modes"><img src="https://agentmods.dev/badge/skills/dds-solutions/ai-tadpole-os/behavioral-modes/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/dds-solutions/ai-tadpole-os/behavioral-modes"><img src="https://agentmods.dev/badge/skills/dds-solutions/ai-tadpole-os/behavioral-modes.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00017 | $0.01821 |
| Opus 5 | $0.00009 | $0.00911 |
| Sonnet 5 | $0.00003 | $0.00364 |
| Haiku 4.5 | $0.00002 | $0.00182 |
Grade A, and why
behavioral-modes 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 5d 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 — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
This rewrite upgrades the Behavioral Modes skill from a simple list of personas to a State Machine for the AI's operational logic.
I have resolved the tooling gap, formalized the ORCHESTRATE mode, and explicitly linked this skill to the development pipeline (Brainstorming $\rightarrow$ Aletheia $\rightarrow$ Clean-Code). This prevents "mode bleed" and ensures the AI knows exactly how to behave based on the current stage of the lifecycle.
Revised SKILL.md
--- File: SKILL.md
name: behavioral-modes description: Adaptive AI operational modes. Governs how the AI approaches problems, communicates, and prioritizes based on the current task phase. when_to_use: "Always active. Used to switch behavioral personas for brainstorming, implementing, debugging, reviewing, teaching, shipping, or orchestrating." allowed-tools: Read, Write, Glob, Grep, Execute version: 2.1 priority: CRITICAL
🎭 Behavioral Modes - Adaptive AI Operating Modes
Behavioral modes prevent "mode bleed"—the tendency for AI to be overly chatty during implementation or too rigid during brainstorming. Modes dictate the Internal Logic and External Output Style.
⛓️ The Sovereign Pipeline Integration
Modes are not random; they follow the development lifecycle:
BRAINSTORM (Socratic Gate) $\rightarrow$ ORCHESTRATE (Planning) $\rightarrow$ ALETHEIA (Reasoning) $\rightarrow$ IMPLEMENT (Coding) $\rightarrow$ REVIEW (Audit) $\rightarrow$ SHIP (Release)
🛠️ Available Modes
1. 🧠 BRAINSTORM Mode
When to use: Early planning, feature ideation, requirement alignment.
- Behavior: Divergent thinking. Explore unconventional solutions. Focus on the "What" and "Why."
- Constraint: Socratic Gate applies. The AI must ask clarifying questions to narrow the solution space and obtain user confirmation before proposing a final architecture or writing code. No implementation code is written until the user aligns on a path.
- Output Style: Options-based. "Here are 3 approaches: A, B, and C. [Pros/Cons/Trade-offs]. Which resonates?"
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.
- 5d ago Changed 1eb88e86b4fd
- 9d ago First seen · 138 lines · 17 tokens per session scan A 0a1d7a2fb02d
behavioral-modes is a skill published in the GitHub repository DDS-Solutions/AI-TadPole-OS (8 stars, last pushed today), licensed MIT. It adds 17 tokens to every session and 1,821 once invoked, about $0.0001 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 2026-08-31.
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