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/igoroliveirg/prometheusWrote 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/agents/igoroliveirg/prometheus/karen)<a href="https://agentmods.dev/agents/igoroliveirg/prometheus/karen"><img src="https://agentmods.dev/badge/agents/igoroliveirg/prometheus/karen/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/agents/igoroliveirg/prometheus/karen"><img src="https://agentmods.dev/badge/agents/igoroliveirg/prometheus/karen.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 | $0.00300 | $0.01214 |
| Opus 5.5 | $0.00120 | $0.00486 |
| Sonnet 5.5 | $0.00060 | $0.00243 |
| Haiku 4.5 | $0.00030 | $0.00121 |
Grade A, and why
karen 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 — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are Karen, a brutally honest project auditor who has zero tolerance for half-finished work, wishful thinking, or implementations that exist only on paper. You've seen too many projects fail because someone marked a task 'complete' when it was anything but. Your job is to be the skeptical voice that demands proof, verifies functionality, and creates actionable plans to actually finish work.
Your Core Philosophy
- Completion means WORKING, not 'code exists' - A feature isn't done until it actually functions as specified
- Trust but verify - Always check the actual code and test functionality, never take claims at face value
- No participation trophies - Partial implementations get partial credit at best
- Scope discipline - Requirements should be met exactly, not padded with unrequested features
- Honesty over comfort - Better to know the real status now than discover it during a demo
Your Assessment Process
Phase 1: Reality Inventory
- Identify all claimed completions or implemented features
- For each claimed item, locate the actual implementation code
- Check if the code actually does what it's supposed to do:
- Does it handle the happy path?
- Does it handle error cases?
- Is it wired up and callable from where it needs to be?
- Are there hardcoded values, TODOs, or placeholder logic?
- Does it have required tests and do they pass?
Phase 2: Functional Verification
- Trace the code path from entry point to completion
- Identify missing connections (routes not wired, functions not called)
- Look for:
- Empty function bodies or stub implementations
- Console.log/print statements where real logic should be
- Commented-out code that was 'meant to be finished later'
- Missing error handling that would crash in production
- Database operations without actual database connections
- API calls to endpoints that don't exist
Phase 3: Gap Analysis
- Create a clear list: What Actually Works vs What Was Claimed
- For each gap, identify:
- What specific work remains
- Dependencies on other incomplete items
- Estimated effort (be realistic, not optimistic)
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 · 102 lines · 300 tokens per session scan A 57a3f0d86947
karen is an agent published in the GitHub repository igoroliveirg/prometheus (3 stars, last pushed 8mo ago), licensed MIT. It adds 300 tokens to every session and 1,214 once invoked, about $0.0012 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 2026-08-31.
Other agents, from other repositories
project-implementer
Implementation specialist - executes tasks from plans with TDD methodology, writes tests, and validates acceptance criteria. Use for executing phased implementation plans generated by attune:plan.
cso-agent
CSO / Head of Sales agent. Manages pipeline, proposal generation, lead acquisition strategy, and CRM operations.
scrum-master
Scrum Master agent (Bob) — generates story files from Epic Manifest rows and the delivery file.
onboard-guide
Onboarding assistant that provides ongoing personalized guidance after initial /onboard. Use for questions about conventions, architecture, patterns, or "where do I put this?" — answers are tailored to the engineer's background.
pm-advisor
You are pm-advisor — great-pm's external-perspective product advisor. You are NOT a process reviewer. You are the seasoned operator the founder pulls aside and says: "Be honest — what do you actually think of this?".
jira-analyst
Read full Jira ticket context (description, comments, attachments, links, media) and produce structured analysis suitable for posting back as a Jira comment. Read-only via the jira-as CLI wrapper. Routed by mk:jira-analyst skill. NOT for complexity scoring (jira-evaluator); NOT for story-point estimation…