auto-agent: Skill for Claude Code

.claude/skills/accuracy-chart/SKILL.md

accuracy-chart is a skill for Claude Code from alfonsograziano/auto-agent. It costs 109 tokens per session (1,920 once invoked), scanned A, original, MIT.

A tool for generating a standalone HTML chart of an automated agent job's accuracy across iterations. It reads the job's logs and baseline report, then presents the progression and summary details.

In plain words
What is it for?
Use it to chart agent accuracy, iteration decisions, timings, total run time, and the final branch from a job folder.
Why use it?
It turns scattered job measurements into a single view of whether repeated attempts improved the result.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is alfonsograziano/auto-agent's own configuration. It tells Claude Code how to work on auto-agent itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything auto-agent configures →

Reuse

Borrowing it

Nothing to install: this file belongs to alfonsograziano/auto-agent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/alfonsograziano/auto-agent/master/.claude/skills/accuracy-chart/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/alfonsograziano/auto-agent

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.

agentmods badge for accuracy-chart

README.md
[![agentmods](https://agentmods.dev/badge/skills/alfonsograziano/auto-agent/accuracy-chart.svg)](https://agentmods.dev/skills/alfonsograziano/auto-agent/accuracy-chart)
Your own site
<a href="https://agentmods.dev/skills/alfonsograziano/auto-agent/accuracy-chart"><img src="https://agentmods.dev/badge/skills/alfonsograziano/auto-agent/accuracy-chart.svg" alt="Measured on agentmods" height="20"></a>
Per session 109 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,920 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00109 $0.01920
Opus 5 $0.00055 $0.00960
Sonnet 5 $0.00022 $0.00384
Haiku 4.5 $0.00011 $0.00192

Measured 8d ago against content hash 17f923d13cc9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

accuracy-chart 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 8d 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/accuracy-chart/SKILL.md · 131 lines

How it starts

The opening of the file, as written. The whole thing — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Accuracy Chart Generator

Generate a standalone HTML file with a line chart showing accuracy progression across iterations, plus a summary table, for an auto-agent job.

Data Sources

All data lives inside the job folder. Read these files:

  1. out.log.txt — Contains the iteration summary block near the end of the file. Look for the last occurrence of the pattern:

    Iteration Summary:
    #    Hypothesis     Decision     Accuracy     Duration
    ────────────────────────────────────────────────────────
    1    001-abc123     CONTINUE     33.3%        4m 25s
    ...
    Total time:      16m 18s
    Final branch:    agent-1-hyp-004-12f9ff
    

    Parse each row for: iteration number, hypothesis ID, decision, accuracy percentage, and duration. Also extract total time and final branch.

  2. hypotheses/000-baseline/REPORT.md — Contains the baseline accuracy in a metrics table:

    | accuracy | 18.3% |
    

    Extract the accuracy value. This is the first data point on the chart (x=Baseline).

How to Build the Chart

Step 1: Collect data

  • Read out.log.txt and find the last "Iteration Summary" block (the file may contain multiple job runs appended together).
  • Read baseline accuracy from the REPORT.md metrics table.
  • Build the data series: [baseline, iter1, iter2, ..., iterN] with accuracy percentages.

Step 2: Compute SVG coordinates

The chart is a hand-crafted SVG (no external libraries). Use these parameters:

  • Chart area: x from 72 to 72 + chartWidth, y from 40 to 340 (300px tall)
  • chartWidth: scale based on number of data points — Math.max(528, (points - 1) * 63) keeps spacing comfortable
  • SVG width: chartArea right edge + 40px padding
  • X positions: evenly spaced from left edge to right edge
  • Y mapping: y = 340 - (accuracy / 100) * 300

For Y-axis grid lines, use 0%, 20%, 40%, 60%, 80%, 100% as labels.

Step 3: Handle label placement

When consecutive data points have similar accuracy values (within ~8pp), alternate label positions above and below the dots to prevent overlap. Place the percentage label 10px above the dot by default; for alternating ones, place 22px below.

Read the full file on GitHub · 131 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. 8d ago First seen · 131 lines · 109 tokens per session scan A 17f923d13cc9

Subscribe to this mod's changes

accuracy-chart is a skill published in the GitHub repository alfonsograziano/auto-agent (56 stars, last pushed 5mo ago), licensed MIT. It adds 109 tokens to every session and 1,920 once invoked, about $0.0005 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 2026-08-30.

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