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 bricerising/enterprise-software-playbook --skill archobsgit clone --depth 1 https://github.com/bricerising/enterprise-software-playbookWrote 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/bricerising/enterprise-software-playbook/archobs)<a href="https://agentmods.dev/skills/bricerising/enterprise-software-playbook/archobs"><img src="https://agentmods.dev/badge/skills/bricerising/enterprise-software-playbook/archobs/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/bricerising/enterprise-software-playbook/archobs"><img src="https://agentmods.dev/badge/skills/bricerising/enterprise-software-playbook/archobs.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 | $0.00094 | $0.04705 |
| Opus 5.5 | $0.00038 | $0.01882 |
| Sonnet 5.5 | $0.00019 | $0.00941 |
| Haiku 4.5 | $0.00009 | $0.00470 |
Grade C, and why
archobs scanned grade C with 2 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.
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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
- Install codanna: `brew install codanna` (macOS) or `curl -fsSL --proto '=https' --tlsv1.2 https://install.codanna.sh | sh` (Linux) Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- Install codanna: `brew install codanna` (macOS) or `curl -fsSL --proto '=https' --tlsv1.2 https://install.codanna.sh | sh` (Linux) How it starts
The opening of the file, as written. The whole thing — 313 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Archobs (Architecture Observability)
Overview
Measure the actual coupling structure of a codebase using three signals: git co-change history, import/dependency edges, and semantic similarity. These signals are fused into a weighted graph, clustered into logical subsystems, and scored for boundary health, risk, and temporal stability.
Use this skill to ground architecture and refactoring decisions in empirical data rather than intuition. The output feeds directly into architecture, design, plan, and review as evidence.
Success looks like: numbered risk hotspots, measured boundary leakage, and prioritized suggestions with concrete scope.
Chooser (Analysis Mode)
- Full report (default): Run the complete pipeline and generate an HTML report with suggestions. Use for initial analysis or periodic health checks.
- Targeted stage: Run a single pipeline stage (inventory, git, deps, embed, build-graph, cluster) when you only need one artifact updated.
- Suggestion loop: Run analysis, apply one suggestion, re-analyze, repeat until convergence. Use for automated refactoring passes.
- Regression check: Compare current metrics against a previous run. Use in
finishto verify architecture health did not degrade.
Inputs / Outputs
Inputs: Git repository path with history.
Outputs: JSON artifacts — file risk scores (xnbr, hubness, volatility), cluster health (leakage, cohesion, conductance), drift data (ARI, modularity), velocity metrics, team analysis, suggestions. Consumed by architecture, design, plan, review, finish, forecast.
Workflow
-
Check prerequisites:
- Install codanna:
brew install codanna(macOS) orcurl -fsSL --proto '=https' --tlsv1.2 https://install.codanna.sh | sh(Linux) - Install
archobsfrom the bundled tool:pip install -e 'tools/archobs[full]' - Verify the target repo has git history (
git logmust succeed)
- Install codanna:
-
Initialize workspace (first run only):
archobs init --repo <path> --out .archobsSkip if running
reportdirectly — it initializes the workspace automatically. Only runinitseparately if you need to editconfig.jsonbefore the first analysis.
What ships with it
2 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.
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 First seen · 313 lines · 94 tokens per session scan C 121dd955b09e
archobs is a skill published in the GitHub repository bricerising/enterprise-software-playbook (8 stars, last pushed 7d ago), licensed Apache-2.0. It adds 94 tokens to every session and 4,705 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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