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/paperclipai/paperclip/terminal-bench-loopnpx skills add paperclipai/paperclip --skill terminal-bench-loopgit clone --depth 1 https://github.com/paperclipai/paperclipWhat 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 | $0.00054 | $0.05451 |
| Opus 5 | $0.00027 | $0.02726 |
| Sonnet 5 | $0.00011 | $0.01090 |
| Haiku 4.5 | $0.00005 | $0.00545 |
Grade A, and why
terminal-bench-loop 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 yesterday.
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 — 229 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Terminal-Bench Loop
A repeatable operating skill for driving one Terminal-Bench problem to a passing smoke through Paperclip, with explicit issue topology, bounded runs, board-gated product fixes, and worktree continuity.
This skill is operational + diagnostic, not engineering. It coordinates issues, artifacts, and approvals around a Terminal-Bench loop. It does not authorize code changes — every accepted product fix lands as a separate implementation child issue after a board confirmation.
Canonical execution model: read doc/execution-semantics.md before starting a loop or moving any loop issue. Every loop issue must rest in a state the doc allows: terminal (done/cancelled), explicitly live (active run / queued wake), explicitly waiting (in_review with participant/interaction/approval), or explicit recovery/blocker (blocked with blockedByIssueIds and a named owner).
When to use
Trigger on an assignment whose title or body matches any of:
- "run Terminal-Bench in a loop", "loop <task-name> through Paperclip"
- "drive Terminal-Bench fix-git", "iterate on Terminal-Bench until it passes"
- "Terminal-Bench smoke loop", "bench loop", "smoke loop on <task-name>"
- An attached link to a Terminal-Bench loop parent issue, plus a request to do another iteration
Also use when the user hands you an existing top-level loop issue and asks for the next iteration, diagnosis, or rerun.
When NOT to use
- The assignment is to build or change
paperclip-benchitself (Harbor adapter, wrapper, telemetry). Use normal engineering flow on that repo. - The assignment is to submit a benchmark result for ranking. This skill produces smoke/non-comparable runs by design — escalate full-suite or comparable runs to BenchmarkQualityManager.
- The assignment is a normal Paperclip product bug not surfaced by a Terminal-Bench loop. Use normal investigation.
- You have not been granted permission to install or assign company skills, and the asker actually wants library mutation. Hand that step to an authorized skill-library owner.
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.
- yesterday First seen · 229 lines · 54 tokens per session scan A 4acbe1f61931
terminal-bench-loop is a skill published in the GitHub repository paperclipai/paperclip (79,688 stars, last pushed yesterday), licensed MIT. It adds 54 tokens to every session and 5,451 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.
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