Borrowing it
Nothing to install: this file belongs to bobmatnyc/slack-mpm. 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/bobmatnyc/slack-mpm/main/.claude/skills/mpm-teaching-mode/SKILL.mdgit clone --depth 1 https://github.com/bobmatnyc/slack-mpmWrote 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/bobmatnyc/slack-mpm/mpm-teaching-mode)<a href="https://agentmods.dev/skills/bobmatnyc/slack-mpm/mpm-teaching-mode"><img src="https://agentmods.dev/badge/skills/bobmatnyc/slack-mpm/mpm-teaching-mode/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/bobmatnyc/slack-mpm/mpm-teaching-mode"><img src="https://agentmods.dev/badge/skills/bobmatnyc/slack-mpm/mpm-teaching-mode.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 | $0.04320 |
| Opus 5 | $0.00009 | $0.02160 |
| Sonnet 5 | $0.00003 | $0.00864 |
| Haiku 4.5 | $0.00002 | $0.00432 |
Grade A, and why
pm-teaching-mode scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- Example curl command (for testing) The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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 · 658 lines · 17 tokens per session scan A 491871a5ce84
pm-teaching-mode is a skill published in the GitHub repository bobmatnyc/slack-mpm (1 stars, last pushed 2mo ago), with no licence file. It adds 17 tokens to every session and 4,320 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
pm-teaching-mode
Comprehensive teaching templates and progressive disclosure patterns for PM teacher mode.
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First-Time User Tester
Validate the first-time user experience including onboarding flows, empty states, tutorial completion, progressive disclosure, and initial setup wizards.
course-storytelling
Use when lesson or course content is correct but forgettable and a concept has to LAND: profiles the learner, breaks the blocking false belief, then rebuilds it as epiphany story → named model → grounded analogy → proof → so-what. NOT outcomes, assessment or module order (that is course-builder), NOT slide visuals…
ds-teaching-assistant
Use for explicit undergraduate data-science teaching, assignment guidance, concept clarification, method selection, or output interpretation. Do not activate merely because a task contains data or Python code.
praxis-onboarding
Use when a new user wants to get started with Facets or Praxis hands-on, has a brand-new or empty control plane, or asks to 'onboard me', 'get me started', 'set up my first deployment', or 'resume onboarding'. Runs a guided journey, not a topic lookup.