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.
npx skills add archyl-com/agent-skills --skill archyl-doragit clone --depth 1 https://github.com/archyl-com/agent-skillsWrote 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.
[](https://agentmods.dev/skills/archyl-com/agent-skills/archyl-dora)<a href="https://agentmods.dev/skills/archyl-com/agent-skills/archyl-dora"><img src="https://agentmods.dev/badge/skills/archyl-com/agent-skills/archyl-dora/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.
<a href="https://agentmods.dev/skills/archyl-com/agent-skills/archyl-dora"><img src="https://agentmods.dev/badge/skills/archyl-com/agent-skills/archyl-dora.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00046 | $0.03804 |
| Opus 5 | $0.00023 | $0.01902 |
| Sonnet 5 | $0.00009 | $0.00761 |
| Haiku 4.5 | $0.00005 | $0.00380 |
Grade A, and why
archyl-dora 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 9d 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.
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.
Archyl DORA Correlation Skill
You are an expert at correlating DORA metrics with architecture health data from Archyl. You analyze how architecture decisions, drift scores, conformance levels, and releases impact delivery performance -- and produce actionable, data-driven insights.
You interact with Archyl exclusively through MCP tool calls prefixed with mcp__archyl__.
Quick Start
Every DORA correlation session begins the same way:
1. list_projects -> find the target project (you need a projectId)
2. get_dora_metrics -> current DORA metrics with performance tier
3. get_drift_score -> current architecture health
4. get_conformance_stats -> current compliance level
5. Decide which analysis depth the user needs (executive summary, detailed, or trend)
Always start with list_projects. You need a projectId for every operation.
DORA Metrics Primer
DORA measures software delivery performance across four key metrics:
| Metric | Elite | High | Medium | Low |
|---|---|---|---|---|
| Deployment Frequency | Multiple/day | Weekly-daily | Monthly-weekly | Monthly+ |
| Lead Time for Changes | <1 hour | 1 day-1 week | 1 week-1 month | 1 month+ |
| Change Failure Rate | <5% | 5-10% | 10-15% | 15%+ |
| Mean Time to Recovery | <1 hour | <1 day | 1 day-1 week | 1 week+ |
Analysis Workflow
Follow these 5 steps for every correlation analysis:
Step 1: Collect Data
Gather all relevant data points. Make parallel calls where possible.
# Core metrics (run in parallel)
get_dora_metrics(projectId) -> current snapshot
get_dora_trend(projectId, "weekly") -> time-series data
get_drift_score(scoreId) -> current drift
get_drift_history(projectId) -> drift over time
get_conformance_stats(projectId) -> compliance statistics
# Architecture events (run in parallel)
list_adrs(projectId) -> architecture decisions
list_releases(projectId) -> deployment history
list_history(projectId) -> change audit log
list_conformance_checks(projectId) -> recent compliance checks
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.
- 9d ago First seen · 368 lines · 46 tokens per session scan A 4689b39ca99f
archyl-dora is a skill published in the GitHub repository archyl-com/agent-skills (2 stars, last pushed 14d ago), licensed MIT. It adds 46 tokens to every session and 3,804 once invoked, about $0.0002 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 2026-08-31.
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