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 agents/hardisgroupcom/sfdx-hardis/pr-watchgit clone --depth 1 https://github.com/hardisgroupcom/sfdx-hardisWrote 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/agents/hardisgroupcom/sfdx-hardis/pr-watch)<a href="https://agentmods.dev/agents/hardisgroupcom/sfdx-hardis/pr-watch"><img src="https://agentmods.dev/badge/agents/hardisgroupcom/sfdx-hardis/pr-watch.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 5.1 | $0.00051 | $0.00990 |
| Opus 5 | $0.00026 | $0.00495 |
| Sonnet 5 | $0.00010 | $0.00198 |
| Haiku 4.5 | $0.00005 | $0.00099 |
Grade A, and why
pr-watch 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 6d 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 6d ago First seen · 93 lines · 51 tokens per session scan A cfd9ad9d0bd4
pr-watch is an agent published in the GitHub repository hardisgroupcom/sfdx-hardis (381 stars, last pushed yesterday), licensed AGPL-3.0. It adds 51 tokens to every session and 990 once invoked, about $0.0003 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 2026-08-30.
Other agents, from other repositories
orc-ci-investigator
Investigator role — diagnoses a failing CI run end-to-end and returns a classified failure report with a concrete fix list; never edits code, never re-runs workflows. Fetches run/job logs via gh CLI, classifies each failure as test / lint / build / flake / infra / environment-drift, and emits fix items orc-code-fixer…
devops-architect
Automate infrastructure and deployment processes with focus on reliability and observability. Leads CI/CD design, IaC governance, and SRE-grade monitoring for cloud-native systems.
github-actions-expert
Designs reliable GitHub Actions workflows with matrix builds, caching strategies, and secure deployment pipelines.
eng-devsecops
DevSecOps pipeline engineer for the /eng-team skill. Invoked when users request automated security scanning (SAST/DAST), CI/CD security pipeline configuration, secrets scanning, container scanning, or dependency analysis. Produces pipeline configurations and scan result reports. Routes from Step 4 of the /eng-team…
agent-cicd
Create GitHub Actions workflows for continuous integration and deployment.
ci-cd-pipeline-optimizer
AI agent for optimizing continuous integration and deployment pipelines.