Ready to supercharge your AI agents?

Install any skill in seconds. Free to start, no credit card required.

Get Started Free →

DORA Metrics · athola | DecimalAI

devopsby athola

DORA Metrics

athola/dora-metrics

Source athola/claude-night-market ↗License MIT

Computes DORA delivery-performance metrics from git and GitHub API.

SkillScore91Maintained

Automatic

DevOps & SRE pack

Last verified 8/20/2026

What it changes

Passed 18 of 20 test cases with the skill, and 8 of 20 without it.

Without skill41%

With skill91%

Checks it passed that the model alone missed

Uses the --json flag to produce JSON output.
Uses the --failure-label flag set to prod-incident.
Passes -o dora-trends.svg to specify the output image file.

and 12 more in the full report

11 fixed9 passed either way2 still failing0 broke

Pass-rate lift: +50 pp
Tokens: +4%
Agent turns: 0%
Response time: -60%

Model gemini-3.6-flashMeasured 8/20/2026v120 of 22 cases passed with skill · 20 comparable

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/athola-dora-metrics/SKILL.md https://app.decimal.ai/s/athola-dora-metrics/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add athola-dora-metrics, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/athola-dora-metrics/ and pins it in .decimal/skills.lock

decimalai skills add athola-dora-metrics

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/athola-dora-metrics/SKILL.md https://app.decimal.ai/s/athola-dora-metrics/SKILL.md

Raw file: /s/athola-dora-metrics/SKILL.md ↗ · machine-readable summary at /s/athola-dora-metrics.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 11

Prompt

I want to automate the ingestion of our delivery metrics into a monitoring system. Which command line option causes the metrics analysis tool to emit structured machine-readable JSON rather than formatted text?

What was checked, without and with the skill
Checked	Without skill	With skill
Uses the --json flag to produce JSON output.	Missed	Passed

case-14 · gemini-3.6-flash · 8/20/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md114 linessingle file

DORA Metrics

Purpose

Compute the four DORA delivery-performance metrics (Deployment Frequency, Lead Time for Changes, Change Failure Rate, and Time to Restore Service) from local git history and the GitHub API. Classify each metric into Elite, High, Medium, or Low using thresholds from DORA's State of DevOps research, and surface the single weakest dimension as the next improvement target.

When To Use

Engineering management retrospectives and quarterly reviews.
Auditing whether agentic workflows (AI-assisted PRs, automated deploys) improve velocity and stability or quietly regress them.
Feeding a tier signal into minister:release-health-gates.

When Not to Use

Single-team velocity tracking that needs story-point burndowns rather than delivery-performance evidence.
Repositories without a clear production branch or release cadence; DORA assumes one.

Workflow

Run the helper script with the desired window:

python3 -m minister.dora_metrics --window 30 --branch main

Read the output: per-metric value, tier classification, and the bottleneck pointer.
For agentic-workflow audits, run the same window twice. Once filtering to AI-authored PRs (e.g., --failure-label ai-bug), once across all PRs. Compare the CFR delta. See modules/agentic-workflow-signals.md.

Track record

Benchmark

18 / 20

test cases passed, vs 8 / 20 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

athola / claude-night-market

plugins/minister/skills/dora-metrics/SKILL.md

View on GitHub ↗

License MITImported 8/3/2026Version v1

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

DORA Metrics

Purpose

When To Use

When Not to Use

Workflow

Track record

Benchmark

Adoption

SkillSafety

Source

Related skills