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 Mark393295827/third-brain-v7-skills --skill behavior-designgit clone --depth 1 https://github.com/Mark393295827/third-brain-v7-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/mark393295827/third-brain-v7-skills/behavior-design)<a href="https://agentmods.dev/skills/mark393295827/third-brain-v7-skills/behavior-design"><img src="https://agentmods.dev/badge/skills/mark393295827/third-brain-v7-skills/behavior-design/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/mark393295827/third-brain-v7-skills/behavior-design"><img src="https://agentmods.dev/badge/skills/mark393295827/third-brain-v7-skills/behavior-design.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 | $0.00029 | $0.01004 |
| Opus 5 | $0.00015 | $0.00502 |
| Sonnet 5 | $0.00006 | $0.00201 |
| Haiku 4.5 | $0.00003 | $0.00100 |
Grade A, and why
behavior-design 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 10d 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 — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Behavior Design
<skill_contract> Actor, desired outcome, current behavior, context, constraints, baseline evidence, and review horizon. An agency-preserving HAS behavior system with cues, effort levels, SOP, measures, recovery, and review cadence. The target behavior is observable, runnable on a low-motivation day, evidenced, and assigned one review owner. <non_goals>Coercion, unsupported identity claims, vague motivation advice, or optimizing lagging outcomes without behaviors.</non_goals>
Convert an outcome into the smallest observable behavior system that can survive low-motivation days. Preserve agency; optimize the environment before blaming the actor.
Usage Template
Provide: desired outcome, actor, context, current behavior, constraints, review horizon, and available evidence. Optional: failed attempts and environmental cues.
Workflow
- Restate the outcome as an observable change, not an identity label.
- Establish baseline frequency, friction, trigger context, and hard constraints.
- Separate controllable behavior from lagging outcome.
- Set one review horizon and one owner.
<unknowns_gate>
Classify unknowns as known, probeable, testable, or blocked. If actor, target behavior, or safety boundary is absent, return NEEDS_INPUT with one minimal question. A reversible assumption is allowed only when labeled and paired with a same-cycle test.
</unknowns_gate>
Build the HAS sequence:
- H1 Goal: translate the outcome into one leading behavior and one lagging measure.
- H2 Habit: define anchor, cue, location, and three effort levels: minimum (about 2 minutes), normal, and stretch.
- H3 SOP: write
trigger -> action -> evidence -> recovery -> stopso a missed run has a next move. - H4 Review: select a cadence; compare planned versus observed behavior and change one variable only.
- H5 Identity: use evidence-based reinforcement: “I am becoming X because I repeatedly did Y,” never unsupported affirmation.
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.
- 10d ago First seen · 99 lines · 29 tokens per session scan A 7f4425f00215
behavior-design is a skill published in the GitHub repository Mark393295827/third-brain-v7-skills (138 stars, last pushed 19d ago), licensed MIT. It adds 29 tokens to every session and 1,004 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 2026-08-30.
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