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 reviewgit 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/review)<a href="https://agentmods.dev/skills/bricerising/enterprise-software-playbook/review"><img src="https://agentmods.dev/badge/skills/bricerising/enterprise-software-playbook/review/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/review"><img src="https://agentmods.dev/badge/skills/bricerising/enterprise-software-playbook/review.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 | $0.00077 | $0.01976 |
| Opus 5 | $0.00039 | $0.00988 |
| Sonnet 5 | $0.00015 | $0.00395 |
| Haiku 4.5 | $0.00008 | $0.00198 |
Grade A, and why
review 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 10d 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 — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review (Protocol)
Overview
Use this skill when you need a repeatable adversarial code review debate that stays grounded in evidence:
- Attacker produces a small set of provable findings (top 10–12)
- Defender responds to each finding by ID (accept/dispute/context)
- Attacker rebuttal closes the loop (concede/maintain/escalate)
- Moderator/Judge produces the final verdict (confirmed/dismissed/contested + priority)
In a typical PR review:
- Attacker = reviewer
- Defender = author
- Judge/Moderator = final arbiter
Success looks like: findings that a developer can act on immediately (location + evidence + minimal fix direction), with noise pruned.
Inputs / Outputs
Inputs: Diff, PR, or commit range to review; archobs JSON from archobs show all --format json (required for non-tiny changes); review type selection.
Outputs: Verdict with CONFIRMED/DISMISSED/CONTESTED findings, fix priorities (P0/P1/P2), systemic risk notes. Consumed by finish for ship-readiness.
Workflow
- Confirm parameters
- Review type (default for PRs):
general | security | correctness | performance | maintainability | testing | architecture | resilience | api-design | accessibility - Review artifact (preferred): PR link / diff / commit range / file list (vs “entire repo”)
- Scope boundaries: default to changed code + immediate call-chain context unless user requests a full audit
- Archobs dependency — For tiny changes (typo, copy, single-file rename), skip archobs and proceed directly to Phase 1. For all other scopes: archobs is required — wait for completion before continuing. Before starting the debate phases, run archobs analysis (see
archobs) to generate coupling data, risk hotspots, and boundary health metrics. Reuse.archobs/file_metrics.parquetonly when it is newer than the most recent commit (git log -1 --format=%ct) and.archobs/run_manifest.jsonexists withstatusequal tocomplete; otherwise regenerate and wait for the report to finish before proceeding. Then runarchobs show all --format jsonto load the results. Do not start Phase 1 (Critique) until archobs output is available. Use the archobs output to ground findings in measured data — especially for systemic risks, hotspot identification, and prioritization. - Which "workers" you can call (other models, other agents, humans), or whether you will role-play the workers yourself.
- Review type (default for PRs):
- Create a temporary run directory (scratch)
- Create a temporary run directory (outside the repo, e.g.
mktemp -d). - If you run multiple debates in one session, create one subfolder per debate (e.g.
debate-01/,debate-02/). - Inside each debate folder, save the raw phase outputs as:
1-critique.md(or.txt)2-defense.md(or.txt)3-rebuttal.md(or.txt)4-verdict.md(or.txt)
- Do not show raw phase artifacts to the user unless they ask; default to a single human-readable report.
- Create a temporary run directory (outside the repo, e.g.
- Phase 1: Critique (Attacker)
- Use the base attacker prompt + the type add-on from
references/protocol.md. - Enforce strict format and cap to ~10–12 findings. If off-format, require a rewrite before continuing.
- Use the base attacker prompt + the type add-on from
- Phase 2: Defense (Defender)
- Require exactly one response per Finding ID.
- For disputes, require file+line evidence.
GATE: Defense (Phase 2) must contain a response for every Finding ID from Phase 1. At least one dispute must include file+line evidence — a defense that accepts every finding without evidence is not adversarial and produces no signal.
What ships with it
1 file 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.
- 10d ago First seen · 126 lines · 77 tokens per session scan A 5dacd97151cb
review is a skill published in the GitHub repository bricerising/enterprise-software-playbook (7 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 77 tokens to every session and 1,976 once invoked, about $0.0004 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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