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 IgorGanapolsky/ThumbGate --skill programmatic-agent-runsgit clone --depth 1 https://github.com/IgorGanapolsky/ThumbGateWrote 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/igorganapolsky/thumbgate/programmatic-agent-runs)<a href="https://agentmods.dev/skills/igorganapolsky/thumbgate/programmatic-agent-runs"><img src="https://agentmods.dev/badge/skills/igorganapolsky/thumbgate/programmatic-agent-runs/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/igorganapolsky/thumbgate/programmatic-agent-runs"><img src="https://agentmods.dev/badge/skills/igorganapolsky/thumbgate/programmatic-agent-runs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00030 | $0.00456 |
| Opus 5.5 | $0.00012 | $0.00182 |
| Sonnet 5.5 | $0.00006 | $0.00091 |
| Haiku 4.5 | $0.00003 | $0.00046 |
Grade A, and why
programmatic-agent-runs 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.
What it actually says
Programmatic Agent Runs
Use this skill before launching a coding agent through the Cursor SDK, Cursor cloud agents, self-hosted workers, or subagents.
When to use
- A task starts from code, CI, a backend service, a kanban automation, or any unattended workflow
- The run can edit files, push a branch, create a PR, publish a package, deploy, or call shell tools
- The run delegates work to subagents with different prompts, models, or scopes
Launch checklist
- Recall lessons with
search_lessonsfor the repo, branch, files, and intended action. - Check active gates with
prevention_rulesbefore enabling writes orautoCreatePR. - Use the narrowest runtime: local for developer-in-the-loop work, cloud for isolated async work, self-hosted for private network/data requirements.
- Give each subagent a bounded file or responsibility scope.
- Persist run metadata: runtime, repo URL, starting ref, run id, agent id, branch, PR URL, and linked ThumbGate evidence.
- Require verification output before merge, publish, deploy, or customer-facing claims.
Cursor SDK guardrails
- Attach ThumbGate MCP through the run environment so the agent can retrieve lessons and gates.
- Prefer a clean starting ref and a disposable branch for cloud VM runs.
- Do not set
autoCreatePRfor destructive, billing, release, or production tasks unless the gate check is clean. - If a cloud run finishes while the developer is offline, inspect the run transcript and PR diff before treating the result as accepted.
- Capture
thumbs_downfeedback when a run violates scope, skips proof, repeats a known mistake, or opens a noisy PR.
Output
For each governed run, report:
- Runtime: local, cloud, or self-hosted
- Scope: files, modules, or workflow the agent may touch
- Gates checked and result
- Verification evidence
- Branch or PR URL
- Any feedback captured for future prevention
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 · 43 lines · 30 tokens per session scan A b1f85b1b5529
programmatic-agent-runs is a skill published in the GitHub repository IgorGanapolsky/ThumbGate (29 stars, last pushed yesterday), licensed MIT. It adds 30 tokens to every session and 456 once invoked, about $0.0001 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.
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