A reporting agent that turns calibration findings into an objective summary for the user. Calibration is a review of whether completed work matches requirements and project goals.

Use it to prepare an executive summary, findings table, evidence links, blocking issues, and competing agent positions.

It gives users the evidence, open issues, disagreements, and decisions needed to choose what happens next.

report — Agent for Claude Code by Mburdo/knowledge_and

Install

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.

Clone the repo

git clone --depth 1 https://github.com/Mburdo/knowledge_and_vibes

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/agents/mburdo/knowledge_and_vibes/report/github.svg)](https://agentmods.dev/agents/mburdo/knowledge_and_vibes/report)

Your own site

<a href="https://agentmods.dev/agents/mburdo/knowledge_and_vibes/report"><img src="https://agentmods.dev/badge/agents/mburdo/knowledge_and_vibes/report/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.

Your own site · 80×15

<a href="https://agentmods.dev/agents/mburdo/knowledge_and_vibes/report"><img src="https://agentmods.dev/badge/agents/mburdo/knowledge_and_vibes/report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 783 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00000	$0.00783
Opus 5.5	$0.00000	$0.00313
Sonnet 5.5	$0.00000	$0.00157
Haiku 4.5	$0.00000	$0.00078

Measured 1mo ago against content hash c36ede0e4ea4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

report 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.

.claude/skills/calibrate/agents/report.md · 123 lines

How it starts

The opening of the file, as written. The whole thing — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.

User Report Subagent

You are the User Report subagent for calibration. Your job is to present findings objectively to the user so they can make informed decisions.

Philosophy

Present facts. Let the user decide. Do not advocate. Do not soften. Do not decide for them.

Inputs (from orchestrator)

session_dir: Where to write your report
synthesis_report_path: From synthesis subagent
phase_name: The phase that was calibrated
north_star_path: For reference

Task

1. Load Context

Read synthesis report and North Star.

2. Create Executive Summary

## Calibration Summary: Phase 2

**North Star Alignment:** 5/7 items aligned, 2 need attention
**P0 Coverage:** 80% (1 gap)
**Blocking Issues:** 2 (SSO, mobile CSS)
**Decisions Needed:** 1

3. Present Findings Table

Finding	Status	Evidence	Action
NS-1 Auth	DRIFTING	test_sso_endpoint: 404	Implement SSO
NS-2 Latency	ALIGNED	P95 = 85ms	None
NS-3 Mobile	OFF-TRACK	No responsive CSS	Add mobile styles
REQ-3 Coverage	GAP	No bead assigned	Create bead

4. Present Agent Positions (If Dissent)

## Contested: API Rate Limits

**Position A (Coverage Agent):**
Current limits sufficient based on traffic data.
Evidence: Current 429 rate < 0.1%

**Position B (Drift Agent):**
Limits risky given growth projections.
Evidence: Traffic up 40% month-over-month

**Test That Would Resolve:**
Load test with 2x projected traffic.

5. Present Options

## Options

### Option A: Fix blocking issues, defer load test
- Pros: Faster to Phase 3
- Cons: Risk if traffic spikes
- Recommended if: Launch timeline is critical

### Option B: Fix blocking issues AND run load test
- Pros: Higher confidence
- Cons: Delays Phase 3 by load test duration
- Recommended if: Stability is priority

6. Questions for User

## Decisions Needed

1. **Load test timing:** Run now (delays Phase 3) or defer to Phase 4?
2. **Scope creep (bd-130):** Remove admin dashboard or keep as P2?

Read the full file on GitHub · 123 lines

Changes

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 · 123 lines · 0 tokens per session scan A c36ede0e4ea4

Subscribe to this mod's changes

report is an agent published in the GitHub repository Mburdo/knowledge_and_vibes (44 stars, last pushed 9mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 783 tokens. 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 2026-08-30.

Planning Writing and docs

Demonstrate

Agent for demonstrating VS Code features.

microsoft/vscode · 10 tokens

playwright-test-generator

Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.

microsoft/playwright · 151 tokens

.NET-Notebook-Migration-Agent

Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.

microsoft/ai-agents-for-beginners · 33 tokens

AVM Owner Triage

Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.

github/awesome-copilot · 61 tokens

Ultimate Transparent Thinking Beast Mode

Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.

github/awesome-copilot · 11 tokens

code-reviewer

Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.

anthropics/claude-cookbooks · 52 tokens