dora-check

dora-check is a skill for Claude Code, Codex from haabe/mycelium. It costs 31 tokens per session (6,761 once invoked), scanned B, original, MIT.

A review of how healthy a team’s delivery process is using metrics suited to the product type. For software, it uses DORA metrics—deployment frequency, delivery speed, recovery time, and change failure rate—along with APEX; other product types use different assessments.

In plain words
What is it for?
Use it to assess software delivery, content, AI tools, or services, routing the review based on the product type and including software delivery metrics when relevant.
Why use it?
It avoids judging every product with the same measurements and helps reveal delivery problems using the project’s actual category.

Skill for Claude CodeCodex

Installs and runs on its own, but its text points at files inside its plugin — anything it tells you to read at a ${CLAUDE_PLUGIN_ROOT} path is only there once the plugin is installed. Installing the plugin gets both.

Part of the mycelium plugin — 61 skills, 6 hooks shipped together

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 skills/haabe/mycelium/dora-check
Any agent
npx skills add haabe/mycelium --skill dora-check
Clone the repo
git clone --depth 1 https://github.com/haabe/mycelium

Made for: Claude Code, Codex.

Or install mycelium, the plugin that ships this one along with the rest of its 61 skills, 6 hooks.

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 dora-check

README.md
[![agentmods](https://agentmods.dev/badge/skills/haabe/mycelium/dora-check.svg)](https://agentmods.dev/skills/haabe/mycelium/dora-check)
Your own site
<a href="https://agentmods.dev/skills/haabe/mycelium/dora-check"><img src="https://agentmods.dev/badge/skills/haabe/mycelium/dora-check.svg" alt="Measured on agentmods" height="20"></a>
Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,761 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. Scan, not verified.
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 $0.00031 $0.06761
Opus 5 $0.00015 $0.03381
Sonnet 5 $0.00006 $0.01352
Haiku 4.5 $0.00003 $0.00676

Measured 5d ago against content hash 6d290d517e83, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade B, and why

dora-check scanned grade B with 1 finding 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 5d 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.

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

grep -o "<prefix>-[0-9][0-9]*" .claude/canvas/<file>.yml | sort -u -t- -k2 -n | tail -3
plugins/mycelium/skills/dora-check/SKILL.md · 368 lines

How it starts

The opening of the file, as written. The whole thing — 368 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Delivery Metrics Check

Assess delivery health using product-type-appropriate metrics. Check product_type from .claude/diamonds/active.yml to determine which assessment to run.

Product type routing (v0.11.0):

  • software: Full DORA + APEX assessment (Parts 1-3 below)
  • content_course, content_publication, content_media: Content Delivery Assessment (Part 4 below)
  • ai_tool: AI Tool Assessment (Part 5 below) + DORA/APEX if code components exist
  • service_offering: Service Delivery Assessment (Part 6 below)

Preflight: Read target canvas file(s) before any Write/Edit

Hard rule. Before issuing Write or Edit against any .claude/canvas/*.yml, use the Read tool on that file in this session. Claude Code's Read-before-Write check requires the Read tool specifically — cat/head/grep via Bash do NOT satisfy it.

Edit vs Write — different cost profiles (verified 2026-05-14):

  • Edit (exact-string replacement): Read with limit: 1 satisfies the check at ~50 tokens. State-tracking is per-file, not per-byte — subsequent Edit calls work anywhere in the file. Use this for partial updates against large canvas files (e.g., purpose.yml at 800+ lines).
  • Write (full replacement): do a full Read first. Write obliterates the file; you should see what you're about to replace. The limit:1 shortcut is not appropriate here.

ID-bearing entries — scan the ID space before assigning (added 2026-05-15, v0.23.19): When adding a new component, opportunity, solution, or any other ID-bearing entry to a canvas file, run a Bash grep first to confirm the next ID in your prefix sequence is actually free:

grep -o "<prefix>-[0-9][0-9]*" .claude/canvas/<file>.yml | sort -u -t- -k2 -n | tail -3

Replace <prefix> with the canvas's ID prefix (comp for landscape, opp for opportunities, sol for solutions, ht for human-tasks, etc.). Then pick the next free integer, matching the zero-padding already used in that file. The sort is NUMERIC (-t- -k2 -n) rather than lexical, and that is not pedantry: a plain sort -u orders ht-1 after ht-080, so on a canvas with inconsistent padding it reports the wrong maximum and the next ID collides. Verified on the dogfood repo 2026-08-13, where lexical sort returned ht-1 as the highest human-task ID against an actual ht-080. grep -o is also deliberate: it matches IDs wherever they appear, including cross-references and prose, so an ID that was promised somewhere but not yet defined is not handed out twice. validate_canvas.py has a duplicate-ID check (lines 230-239) that catches the failure on CI, but a duplicate can persist in the working tree for days if CI isn't run between edit and discovery — see roadmap-repo corrections.md 2026-05-15 "Duplicate canvas ID created in landscape.yml" for the worked example.

Read the full file on GitHub · 368 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. 5d ago First seen · 368 lines · 31 tokens per session scan B 6d290d517e83

Subscribe to this mod's changes

dora-check is a skill published in the GitHub repository haabe/mycelium (45 stars, last pushed yesterday), licensed MIT. It adds 31 tokens to every session and 6,761 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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