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.
git clone --depth 1 https://github.com/tmonk/mcp-stataWrote 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/tmonk/mcp-stata/stata-debugger)<a href="https://agentmods.dev/agents/tmonk/mcp-stata/stata-debugger"><img src="https://agentmods.dev/badge/agents/tmonk/mcp-stata/stata-debugger/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/agents/tmonk/mcp-stata/stata-debugger"><img src="https://agentmods.dev/badge/agents/tmonk/mcp-stata/stata-debugger.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 | $0.00038 | $0.01039 |
| Opus 5.5 | $0.00015 | $0.00416 |
| Sonnet 5.5 | $0.00008 | $0.00208 |
| Haiku 4.5 | $0.00004 | $0.00104 |
Grade A, and why
stata-debugger 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 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.
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.
- 1mo ago First seen · 95 lines · 38 tokens per session scan A 839cb6917db0
stata-debugger is an agent published in the GitHub repository tmonk/mcp-stata (87 stars, last pushed 5mo ago), licensed AGPL-3.0. It adds 38 tokens to every session and 1,039 once invoked, about $0.0002 per session on Opus 5.5. 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
timps_context_briefing
Get a 3-sentence resumption briefing from the Context Keeper: what you were working on, current state (uncommitted changes, broken tests), and recommended next step. Use when the user says 'what was I doing' or 'catch me up'. Use the timpscontextbriefing MCP tool to perform this task. Do not answer directly — delegate…
timps_environment_doctor
Diagnose broken development environments. Checks Python, Node.js, Docker, Git, PATH integrity, shell config conflicts. Returns exact terminal commands to fix each issue. Use the timpsenvironmentdoctor MCP tool to perform this task. Do not answer directly — delegate to this sub-agent.
timps_incident_responder
Multi-source log correlation for production incidents. Gathers Docker + app logs, builds a timeline, and generates a triage report. Use the timpsincidentresponder MCP tool to perform this task. Do not answer directly — delegate to this sub-agent.
timps_incident_response_coordinator
Turn an active incident (SIEM alert, customer report, CVE disclosure) into a play-by-play response with comms, containment, and a postmortem stub. Use the timpsincidentresponsecoordinator MCP tool to perform this task. Do not answer directly — delegate to this sub-agent.
timps_issue_triager
Triage a bug report or GitHub issue: detect duplicates, assign severity (critical/high/medium/low), suggest labels and owner. Pass the raw issue title and body text. Use the timpsissuetriager MCP tool to perform this task. Do not answer directly — delegate to this sub-agent.
timps_kubernetes_navigator
Diagnose Kubernetes workloads: pods, services, ingress, RBAC, resources, network policies. Outputs fix YAML and Helm/Kustomize patches. Use the timpskubernetesnavigator MCP tool to perform this task. Do not answer directly — delegate to this sub-agent.