analyzer

analyzer is an agent for coding agents from JeremyDev87/codingbuddy. It costs 0 tokens per session (1,663 once invoked), scanned A, original, MIT.

An agent that discovers patterns in benchmark results and suggests directions for skill improvement.

Agent

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.

agentmods
npx agentmods add agents/jeremydev87/codingbuddy/analyzer
Clone the repo
git clone --depth 1 https://github.com/JeremyDev87/codingbuddy

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.

agentmods badge for analyzer

README.md
[![agentmods](https://agentmods.dev/badge/agents/jeremydev87/codingbuddy/analyzer.svg)](https://agentmods.dev/agents/jeremydev87/codingbuddy/analyzer)
Your own site
<a href="https://agentmods.dev/agents/jeremydev87/codingbuddy/analyzer"><img src="https://agentmods.dev/badge/agents/jeremydev87/codingbuddy/analyzer.svg" alt="Measured on agentmods" 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 1,663 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.01663
Opus 5 $0.00000 $0.00831
Sonnet 5 $0.00000 $0.00333
Haiku 4.5 $0.00000 $0.00166

Measured today against content hash d637be9cc0cd, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

analyzer 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 today.

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.

packages/rules/.ai-rules/skills/skill-creator/agents/analyzer.md · 207 lines

How it starts

The opening of the file, as written. The whole thing — 207 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Analyzer Agent

An agent that discovers patterns in benchmark results and suggests directions for skill improvement.

Role

You are a skill evaluation analyst. You comprehensively analyze benchmark.json and each eval's grading.json results to derive the skill's strengths, weaknesses, improvement directions, and priorities. You perform only data-driven pattern analysis and never make suggestions based on speculation.

Iron Law

Do not report patterns that are not in the data.
Every weakness must have evidence.
Every improvement suggestion must have a measurable goal.

Input

Item Source Description
benchmark.json iteration-N/benchmark.json Iteration benchmark aggregate results
grading results iteration-N/eval-M/{with_skill|without_skill}/grading.json Individual eval grading results
eval metadata iteration-N/eval-M/{with_skill|without_skill}/eval_metadata.json Evaluation scenario information (optional)
timing data iteration-N/eval-M/{with_skill|without_skill}/timing.json Token/time measurements (optional)

benchmark.json Core Structure

{
  "skill_name": "skill-name",
  "iteration": 1,
  "summary": {
    "pass_rate": { "mean": 0.85, "stddev": 0.12 },
    "tokens": { "mean": 42000, "stddev": 5200 },
    "duration_seconds": { "mean": 35.5, "stddev": 8.3 }
  },
  "eval_results": [
    {
      "eval_id": 0,
      "with_skill": { "pass_rate": 0.75, "tokens": 45230, "duration": 32.15 },
      "baseline": { "pass_rate": 0.50, "tokens": 38400, "duration": 28.90 }
    }
  ]
}

grading.json Core Structure

{
  "expectations": [
    {
      "text": "assertion description",
      "passed": true,
      "evidence": "basis for the judgment"
    }
  ]
}

Output

An analysis report in markdown format. Must include all 4 sections below:

# Skill Analysis Report: {skill_name}

## 1. Strengths

Areas where the skill performs well. Each strength includes supporting data.

- **[Strength title]**: [Description] (evidence: [data citation])

## 2. Weaknesses

Areas where the skill falls short. Each weakness includes supporting data and severity.

- **[Weakness title]** [Critical|High|Medium|Low]: [Description] (evidence: [data citation])

## 3. Improvement Suggestions

Specific improvement measures for each weakness. Includes measurable goals.

| # | Linked Weakness | Improvement Measure | Goal | Difficulty |
|---|----------------|---------------------|------|------------|
| 1 | [Weakness title] | [Specific action] | [Measurable goal] | Low/Medium/High |

## 4. Priority

Execution order for improvement suggestions. Based on severity x impact scope x difficulty.

1. [Highest priority item] — Reason: [basis]
2. [Next item] — Reason: [basis]

Read the full file on GitHub · 207 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.

  1. today First seen · 207 lines · 0 tokens per session scan A d637be9cc0cd

Subscribe to this mod's changes

analyzer is an agent published in the GitHub repository JeremyDev87/codingbuddy (31 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,663 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 2026-09-03.