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/tomcounsell/ai/rendergit clone --depth 1 https://github.com/tomcounsell/aiWhat 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 | $0.00036 | $0.02807 |
| Opus 5 | $0.00018 | $0.01404 |
| Sonnet 5 | $0.00007 | $0.00561 |
| Haiku 4.5 | $0.00004 | $0.00281 |
Grade B, and why
render scanned grade B with 1 finding 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 2d 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.
Unrestricted tool accessmediumExcessive agency
A wildcard tool grant or "run any command" leaves no least-privilege boundary at all.
tools: ['*'] The source is not reproduced here
Licensed GPL-3.0
The repository is licensed GPL-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.
- 2d ago First seen · 459 lines · 36 tokens per session scan B 27f7e09117d8
render is an agent published in the GitHub repository tomcounsell/ai (22 stars, last pushed today), licensed GPL-3.0. It adds 36 tokens to every session and 2,807 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 1 finding (unrestricted tool access). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other agents, from other repositories
tf-infra-engineer
Terraform infrastructure implementation and review. Use for cloud provisioning, IAM/OIDC, networking, and terraform plan review.
lead
Main product-development orchestrator for research, design, spec, implementation, and review.
reviewer
Final code-review authority. Audits the real diff, safety, architecture, evidence, and task compliance without editing files.
review_coordinator
Coordinates deterministic review preparation and explicit partial AI review modes.
review_api
Focused reviewer for APIs, compatibility, contracts, schemas, and public surfaces.
review_quality
Focused reviewer for correctness, bugs, maintainability, and general quality.