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 andreaswasita/copilot-agents-dojo --skill behavioral-foundationgit clone --depth 1 https://github.com/andreaswasita/copilot-agents-dojoWrote 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/andreaswasita/copilot-agents-dojo/behavioral-foundation)<a href="https://agentmods.dev/skills/andreaswasita/copilot-agents-dojo/behavioral-foundation"><img src="https://agentmods.dev/badge/skills/andreaswasita/copilot-agents-dojo/behavioral-foundation/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/andreaswasita/copilot-agents-dojo/behavioral-foundation"><img src="https://agentmods.dev/badge/skills/andreaswasita/copilot-agents-dojo/behavioral-foundation.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 | $0.00017 | $0.01243 |
| Opus 5 | $0.00009 | $0.00622 |
| Sonnet 5 | $0.00003 | $0.00249 |
| Haiku 4.5 | $0.00002 | $0.00124 |
Grade A, and why
behavioral-foundation 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 — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Behavioral Foundation Skill
Makes the dojo's behavioral charter — the five non-negotiable prime directives and the mandatory workflow pipeline — a discoverable, installed skill instead of rules buried in AGENTS.md or the runtime prompt. Does NOT re-teach each discipline (those are their own skills); it states the why and what the other skills enforce, so the foundation travels with the repo and survives context compaction.
When to Use
- At session start, alongside
using-superpowers, to load the non-negotiables. - Whenever you are tempted to skip a step ("I'll just commit to main this once").
- After context compaction or a handoff, to re-anchor on the prime directives.
- When a user or another agent asks "what rules does this agent follow?".
- Before claiming any task is "done" — Directive 1 is the gate.
- NOT as a substitute for the specific discipline skills it summarizes.
Prerequisites
- The dojo is installed (
skills/,tasks/,spec/). - The
view,edit, andpowershellCopilot tools for inspecting state. gitavailable to confirm branch and working-tree state.
How to Run
1. Read the five Prime Directives below — they are non-negotiable.
2. Confirm the mandatory pipeline applies to the task at hand.
3. Hand off to the specific discipline skill for the current phase.
4. Use the Verification checklist before any "done" claim.
Quick Reference
| # | Prime Directive | Enforced by |
|---|---|---|
| 1 | Never claim "done" without proof | verify-before-done |
| 2 | Plan before non-trivial code | plan-before-code |
| 3 | Isolate work on a branch/worktree | using-git-worktrees |
| 4 | Make surgical, complete changes | demand-elegance |
| 5 | Don't improvise around safety | safety-guardrails |
Mandatory pipeline (each arrow is a skill):
BRAINSTORM → WORKTREE → PLAN → EXECUTE → TEST → REVIEW → FINISH → LEARN
Procedure
Step 1: The Five Prime Directives
- Never claim "done" without proof. Evidence = the repo's own tests/build pass, the diff was reviewed, and the working tree is clean. No proof, not done.
- Plan before non-trivial code. Any task of ~3+ steps gets a written plan in
tasks/todo.mdfirst, confirmed before executing. - Isolate the work. Use a feature branch or worktree; never commit straight to
main. Confirm a clean test baseline before changing anything. - Make surgical changes. Fix the request, not unrelated code. A complete, correct solution beats a minimal one; neither over-engineers.
- Don't improvise around safety. No secrets in code, no unpinned supply-chain sources, no destructive
git/file operations without explicit confirmation.
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 · 103 lines · 17 tokens per session scan A afc168d0278d
behavioral-foundation is a skill published in the GitHub repository andreaswasita/copilot-agents-dojo (53 stars, last pushed 3d ago), licensed MIT. It adds 17 tokens to every session and 1,243 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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