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 agentmods add skills/rigour-labs/rigour/claude-pluginnpx skills add rigour-labs/rigour --skill claude-plugingit clone --depth 1 https://github.com/rigour-labs/rigourWrote 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/rigour-labs/rigour/claude-plugin)<a href="https://agentmods.dev/skills/rigour-labs/rigour/claude-plugin"><img src="https://agentmods.dev/badge/skills/rigour-labs/rigour/claude-plugin.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00465 |
| Opus 5 | $0.00000 | $0.00233 |
| Sonnet 5 | $0.00000 | $0.00093 |
| Haiku 4.5 | $0.00000 | $0.00047 |
Grade A, and why
.claude-plugin 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 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.
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 — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Rigour Governance Skills
Rigour provides meta-cognitive governance tools to ensure AI agents stay aligned with engineering standards, project context, and brand identity during long-running coworking tasks.
Skills
rigour_checkpoint
Record a quality checkpoint during long-running agent execution. Use periodically (every 15-30 min) to enable drift detection and quality monitoring. Essential for coworking mode.
Parameters:
cwd(string, required): Absolute path to the project root.progressPct(number, required): Estimated progress percentage (0-100).summary(string, required): Brief description of work done since last checkpoint.qualityScore(number, required): Self-assessed quality score (0-100).filesChanged(array of strings): List of files modified since last checkpoint.
rigour_agent_register
Register an agent in a multi-agent session. Use this at the START of agent execution to claim task scope and enable cross-agent conflict detection.
Parameters:
cwd(string, required): Absolute path to the project root.agentId(string, required): Unique identifier for this agent (e.g., 'marketing-pro', 'sales-bot').taskScope(array of strings, required): Glob patterns defining the files/directories this agent will work on.
rigour_check
Run all configured quality gates (Lint, Test, AST, etc.) on the project. Call this before completing a task to verify overall quality.
Parameters:
cwd(string, required): Absolute path to the project root.
rigour_get_fix_packet
If gates fail, call this to retrieve a prioritized 'Fix Packet' containing detailed instructions on how to resolve the violations.
Parameters:
cwd(string, required): Absolute path to the project root.
rigour_remember
Persist critical instructions or project-specific conventions that should be remembered across sessions.
Parameters:
cwd(string, required): Absolute path to the project root.key(string, required): Unique key for the memory.value(string, required): The instruction or context to remember.
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.
- 5d ago First seen · 52 lines · 0 tokens per session scan A 4ec7efaf03b0
.claude-plugin is a skill published in the GitHub repository rigour-labs/rigour (26 stars, last pushed 14d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 465 tokens. 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 2026-08-30.
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