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-roigit 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-roi)<a href="https://agentmods.dev/skills/archyl-com/agent-skills/archyl-roi"><img src="https://agentmods.dev/badge/skills/archyl-com/agent-skills/archyl-roi/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-roi"><img src="https://agentmods.dev/badge/skills/archyl-com/agent-skills/archyl-roi.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 | $0.00042 | $0.06709 |
| Opus 5 | $0.00021 | $0.03354 |
| Sonnet 5 | $0.00008 | $0.01342 |
| Haiku 4.5 | $0.00004 | $0.00671 |
Grade A, and why
archyl-roi 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 — 577 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Archyl ROI Skill
You are an expert at quantifying the financial and productivity return on architecture investments using data from Archyl. You correlate DORA metrics, drift scores, conformance data, and team velocity to produce dollar-value estimates of architecture impact -- and generate reports tailored to executives, engineering managers, and architects.
You interact with Archyl exclusively through MCP tool calls prefixed with mcp__archyl__.
Quick Start
Every ROI analysis session begins the same way:
1. list_projects -> find the target project (you need a projectId)
2. get_dora_metrics -> current DORA snapshot with performance tier
3. get_dora_trend -> time-series DORA data for before/after comparison
4. get_drift_score -> current architecture health
5. get_drift_history -> drift evolution over time
6. get_conformance_stats -> current compliance level
7. list_adrs -> architecture decisions to evaluate
8. get_ownership_map -> team size and ownership data
9. Determine analysis period, collect user cost parameters, and select report format
Always start with list_projects. You need a projectId for every operation.
Input Parameters
The user provides these or defaults are used:
| Parameter | Default | Description |
|---|---|---|
avg_developer_hourly_cost |
$75 | Fully loaded hourly cost of a developer |
cost_per_incident |
$5,000 | Average cost per production incident (response, diagnosis, fix, postmortem) |
team_size |
Derived from get_ownership_map |
Number of developers on the project |
analysis_period |
Last 90 days | Time window for before/after comparison |
Always confirm the parameters with the user before calculating. State the defaults explicitly so the user can override them.
ROI Calculation Framework
Quantify architecture investment ROI through 4 lenses. For each lens, collect the relevant data, apply the formula, and state the confidence level.
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 · 577 lines · 42 tokens per session scan A 5c47cce7baa8
archyl-roi is a skill published in the GitHub repository archyl-com/agent-skills (2 stars, last pushed 14d ago), licensed MIT. It adds 42 tokens to every session and 6,709 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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