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 pjt222/agent-almanac --skill basic-obediencegit clone --depth 1 https://github.com/pjt222/agent-almanacWrote 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/pjt222/agent-almanac/basic-obedience)<a href="https://agentmods.dev/skills/pjt222/agent-almanac/basic-obedience"><img src="https://agentmods.dev/badge/skills/pjt222/agent-almanac/basic-obedience/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/pjt222/agent-almanac/basic-obedience"><img src="https://agentmods.dev/badge/skills/pjt222/agent-almanac/basic-obedience.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 | $0.00106 | $0.02025 |
| Opus 5.5 | $0.00042 | $0.00810 |
| Sonnet 5.5 | $0.00021 | $0.00405 |
| Haiku 4.5 | $0.00011 | $0.00202 |
Grade A, and why
basic-obedience 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 1mo 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 — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Basic Obedience
Teach foundation commands (sit, stay, come, heel, down) using positive reinforcement and marker training.
When to Use
- A new puppy (8+ weeks) is ready for foundation training
- An adult dog lacks reliable basic commands
- A rescue or rehomed dog needs to learn the household's command vocabulary
- Before advancing to more complex behaviors or off-leash work
- When existing commands have degraded and need re-establishing
Inputs
- Required: A dog (any breed, any age 8+ weeks)
- Required: High-value treats (small, soft, quickly consumed)
- Optional: Clicker or verbal marker word (e.g., "yes")
- Optional: 6-foot leash and flat collar or harness
- Optional: Quiet training space with minimal distractions (initially)
Procedure
Step 1: Establish the Marker
The marker bridges the gap between the desired behavior and the reward.
Marker Training Protocol:
1. Choose your marker: clicker (precise) or verbal "yes" (always available)
2. Charge the marker (10-15 reps):
- Mark (click or "yes") then immediately deliver a treat
- No behavior required — just marker → treat, marker → treat
- Dog should begin orienting toward you at the sound of the marker
3. Test: mark when the dog is looking away. Does the dog turn toward
you expecting a treat? If yes, the marker is charged.
Timing Rule:
The marker must occur WITHIN 1 second of the desired behavior.
Late marking teaches the wrong behavior.
Mark → then reach for the treat (not the reverse).
Got: The dog reliably orients toward the handler upon hearing the marker, expecting a reward.
If fail: If the dog does not respond to the marker after 20 reps, the treat value is too low. Switch to higher-value rewards (cheese, chicken, liver). If the dog is too distracted to eat, the environment is too stimulating — move to a quieter space.
Step 2: Teach the Five Foundation Commands
Work on one command per session until reliable, then begin mixing.
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.
- 1mo ago First seen · 199 lines · 106 tokens per session scan A f636a2afa14c
basic-obedience is a skill published in the GitHub repository pjt222/agent-almanac (42 stars, last pushed 5d ago), licensed MIT. It adds 106 tokens to every session and 2,025 once invoked, about $0.0004 per session on Opus 5.5. 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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