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.
git clone --depth 1 https://github.com/Habitat-Thinking/ai-literacy-superpowersWrote 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/commands/habitat-thinking/ai-literacy-superpowers/pipeline-map)<a href="https://agentmods.dev/commands/habitat-thinking/ai-literacy-superpowers/pipeline-map"><img src="https://agentmods.dev/badge/commands/habitat-thinking/ai-literacy-superpowers/pipeline-map/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/commands/habitat-thinking/ai-literacy-superpowers/pipeline-map"><img src="https://agentmods.dev/badge/commands/habitat-thinking/ai-literacy-superpowers/pipeline-map.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 | $0.00136 | $0.04294 |
| Opus 5 | $0.00068 | $0.02147 |
| Sonnet 5 | $0.00027 | $0.00859 |
| Haiku 4.5 | $0.00014 | $0.00429 |
Grade A, and why
pipeline-map 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 7d 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.
3. **Fetch (cache miss):** `curl -fsSL <source_url>` into the cache path. The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- 7d ago First seen · 329 lines · 136 tokens per session scan A aff161f40d38
pipeline-map is a command published in the GitHub repository Habitat-Thinking/ai-literacy-superpowers (103 stars, last pushed 16d ago), with no licence file. It adds 136 tokens to every session and 4,294 once invoked, about $0.0007 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 2026-09-03.
Other commands, from other repositories
ai-readiness-assess
Run a self-contained AI readiness assessment for this project. Scan the repo for evidence, ask clarifying questions, produce a timestamped assessment document, and surface gap-anchored next steps — a reading path through The Sovereign Engineer and, where the team wants help, a route into TechTalk.
bug
Reproduce then TDD-fix a ready-for-agent bug ticket in this checkout. Web bugs get a browser repro first.
ci
Watch gh pr checks until green and fix failures on this branch. Do not merge.
review
Harsh maintainability review of one PR. Comments, not patches. Do not merge.
app-review
Run code review on a specific branch or open PR-equivalent.
bob-new
Provision a well-formed task onto the Bob board from a rough description.