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/the-teacher/active_harness/execution_timegit clone --depth 1 https://github.com/the-teacher/active_harnessWhat 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 | $0.00000 | $0.00145 |
| Opus 5 | $0.00000 | $0.00072 |
| Sonnet 5 | $0.00000 | $0.00029 |
| Haiku 4.5 | $0.00000 | $0.00015 |
Grade A, and why
execution_time 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 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.
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
Execution Time
Every object that makes an LLM call exposes #execution_time (seconds, rounded to 3 decimal places).
# Agent — execution_time is on the result
agent.call
puts agent.result.execution_time # => 1.352
# Tribunal — wall time for all agents running in parallel
tribunal.call
puts tribunal.execution_time # => 0.94
# Pipeline — total wall time across all steps that ran
pipeline.call
puts pipeline.execution_time # => 3.12
# Per step
pipeline.steps.each do |step_name, _executor, result|
puts "#{step_name}: #{result.execution_time}s"
end
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 · 23 lines · 0 tokens per session scan A e2e53a4c6b7d
execution_time is an agent published in the GitHub repository the-teacher/active_harness (89 stars, last pushed 23d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 145 tokens. 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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