A report generator for DORA software-delivery metrics and additional metrics about coding agents. DORA metrics measure how often teams deploy, how quickly changes reach production, and how reliably they deliver software.

Use it to create a DORA-REPORT.md file, review delivery performance during sprint or quarterly assessments, and track trends over time.

It turns repository and delivery data into a recurring report for reviewing engineering performance and changes after adopting AI tools.

dora-report — Skill for Claude Code and Codex by d-oit

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.

Any agent

npx skills add d-oit/rust-2026-template --skill dora-report

Clone the repo

git clone --depth 1 https://github.com/d-oit/rust-2026-template

Made for: Claude Code, Codex.

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/skills/d-oit/rust-2026-template/dora-report/github.svg)](https://agentmods.dev/skills/d-oit/rust-2026-template/dora-report)

Your own site

<a href="https://agentmods.dev/skills/d-oit/rust-2026-template/dora-report"><img src="https://agentmods.dev/badge/skills/d-oit/rust-2026-template/dora-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/skills/d-oit/rust-2026-template/dora-report"><img src="https://agentmods.dev/badge/skills/d-oit/rust-2026-template/dora-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,189 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. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

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	$0.00052	$0.01189
Opus 5.5	$0.00021	$0.00476
Sonnet 5.5	$0.00010	$0.00238
Haiku 4.5	$0.00005	$0.00119

Measured 1mo ago against content hash 5ee51a4f3605, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

dora-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.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/compute_dora.py, scripts/test_compute_dora.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.agents/skills/dora-report/SKILL.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.

Skill: dora-report

Purpose

Generate a DORA-REPORT.md for this repository by computing the five core DORA software delivery performance metrics and three DORA agentic metrics from available data sources.

When to use

When asked to generate a DORA report or assess delivery performance
During sprint reviews or quarterly assessments
When evaluating the ROI of AI tooling adoption
Run this skill monthly to track trends

Prerequisites

GitHub CLI (gh) installed and authenticated
Python 3.9+ available
.agents/metrics.jsonl exists
dora-metrics.jsonl exists (event log: deployment, change-failure and recovery events)
reports/dora-history.jsonl exists (weekly report snapshots for the trend table; created on first run when missing)

Steps

1. Fetch Deployment Frequency data from GitHub API

# Note: Combine paginated GitHub API JSON arrays using jq -s 'add // []' to avoid concatenated JSON files
# See historical failure case dora-report-gen-20260914 in .agents/ci/regression-matrix.json
gh api "/repos/{owner}/{repo}/releases" --paginate \
  --jq '[.[] | {tag: .tag_name, published: .published_at}]' \
  | jq -s 'add // []' \
  > /tmp/releases.json

2. Fetch PR Lead Time data

gh api "/repos/{owner}/{repo}/pulls?state=closed&base=main" --paginate \
  --jq '[.[] | select(.merged_at != null) | {pr: .number, created: .created_at, merged: .merged_at}]' \
  | jq -s 'add // []' \
  > /tmp/prs.json

3. Run the compute script

python3 .agents/skills/dora-report/scripts/compute_dora.py \
  --releases /tmp/releases.json \
  --prs /tmp/prs.json \
  --agent-metrics .agents/metrics.jsonl \
  --dora-metrics dora-metrics.jsonl \
  --policy plans/dora.json \
  --template .agents/skills/dora-report/templates/DORA-REPORT.md.jinja \
  --output reports/DORA-REPORT.md \
  --manifest-output reports/dora-manifest.json \
  --history reports/dora-history.jsonl \
  --period-days 30 \
  --repo $(git remote get-url origin | sed 's/.*github.com[:\/]\(.*\)\.git/\1/')

Read the full file on GitHub · 123 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 Changed · +6 lines 5ee51a4f3605
1mo ago Changed · -3 lines e0a92458d9ba
1mo ago Changed · +2 lines ab8672a0dfe1
1mo ago Changed · +4 lines 7c002cce0831
2mo ago First seen · 114 lines · 52 tokens per session scan A 7c77d4f09623

Subscribe to this mod's changes

dora-report is a skill published in the GitHub repository d-oit/rust-2026-template (15 stars, last pushed yesterday), licensed MIT. It adds 52 tokens to every session and 1,189 once invoked, about $0.0002 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.

Analytics and metrics Rust ai-agents ai-tooling template

dora-report next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
dora-reportd-oit/rust-2026-template	Skill	15	yesterday	MIT	A	52	Claude Code, Codex
review-backendAndreiBozantan/svelte-axum-template	Skill	2	1mo ago	MIT	A	54	Claude Code, Codex
yada-yada-yadaAndreiBozantan/svelte-axum-template	Skill	2	1mo ago	MIT	A	81	Claude Code, Codex
review-frontendAndreiBozantan/svelte-axum-template	Skill	2	1mo ago	MIT	A	62	Claude Code, Codex
fix-issueAndreiBozantan/svelte-axum-template	Skill	2	1mo ago	MIT	A	65	Claude Code, Codex
make-it-soAndreiBozantan/svelte-axum-template	Skill	2	1mo ago	MIT	A	55	Claude Code, Codex
triage-review-findingAndreiBozantan/svelte-axum-template	Skill	2	1mo ago	MIT	A	59	Claude Code, Codex