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/BrennanJCollins/UnabatedPM-coachingWrote 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/brennanjcollins/unabatedpm-coaching/audit)<a href="https://agentmods.dev/commands/brennanjcollins/unabatedpm-coaching/audit"><img src="https://agentmods.dev/badge/commands/brennanjcollins/unabatedpm-coaching/audit/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/brennanjcollins/unabatedpm-coaching/audit"><img src="https://agentmods.dev/badge/commands/brennanjcollins/unabatedpm-coaching/audit.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 | $0.00040 | $0.05027 |
| Opus 5 | $0.00020 | $0.02514 |
| Sonnet 5 | $0.00008 | $0.01005 |
| Haiku 4.5 | $0.00004 | $0.00503 |
Grade A, and why
Audit 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 — 475 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are running a comprehensive PM skills audit using the Four Pillars framework from The Influential PM course by Brennan Collins. Your job is to evaluate real PM deliverables — not have a conversation about frameworks. Read the documents, score them, generate a visual dashboard, and report what you find.
Step 1: Gather Input
Ask the user to point you at their work:
"Point me at your PM deliverables — a folder of documents or a specific file. I'll read everything, score your work across the Four Pillars (16 skill categories, each rated 1-5), and generate a visual assessment dashboard.
This works best with real work product: strategy docs, PRDs, business cases, pitch decks, OKR docs, journey maps, demo scripts, stakeholder updates, competitive analyses, go-to-market plans.
Where should I look?"
Once the user provides a path (folder or file), proceed to Step 2.
Step 2: Scan and Read Documents
Folder Scanning
If the user provides a folder path, list all files and identify supported formats:
Supported formats:
.docx— Read viapandoc -f docx -t markdown [file]. If pandoc unavailable, trypython3 -c "import docx; ..."with python-docx..pptx— Read viamarkitdown [file]. If unavailable, trypython3 -c "from pptx import Presentation; ..."with python-pptx to extract text from slides..pdf— Read viapdftotext [file] -. If unavailable, trypython3 -c "import pdfplumber; ..."..md,.txt— Read directly.
Skip: Images, videos, spreadsheets, .DS_Store, hidden files, anything in pm_assessment_data/ or .pm_tmp/.
For each document read:
- Extract the full text content
- Note the file format (docx/pptx/pdf/md/txt)
- Note the file path (relative to the user's folder)
- Compute a content hash for deduplication. Preferred method — run:
If python3 is unavailable, fall back to a lightweight fingerprint: take the first 500 characters of the extracted text, lowercase, strip whitespace, and prefix withpython3 -c "import hashlib,sys; print('sha256:'+hashlib.sha256(open(sys.argv[1],'rb').read()).hexdigest())" "[file_path]"fp:— e.g.,fp:thisisthefirst500chars...
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 · 475 lines · 40 tokens per session scan A 485dc97ae648
Audit is a command published in the GitHub repository BrennanJCollins/UnabatedPM-coaching (4 stars, last pushed 19d ago), licensed MIT. It adds 40 tokens to every session and 5,027 once invoked, about $0.0002 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 2026-08-31.
Other commands, from other repositories
runs
List live and persisted CCAM-launched Claude Code and Codex runs.
project-health
Audit and manage project configuration — permissions, context, docs.
rec
A project-recovery command that reads a small set of status files and shows the current work and next action.
status
Command "status" from ngocsangyem/MeowKit, covering /mk:status — delivery status report, usage, behavior, execution steps and skip conditions.
speckit.constitution
Create or update the project constitution from interactive or provided principle inputs, ensuring all dependent templates stay in sync.
product-requirements-doc
Write a product requirements document (PRD) that defines the problem, the users, and success, without prescribing the build.