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 UKGovernmentBEIS/inspect_evals --skill read-eval-logsgit clone --depth 1 https://github.com/UKGovernmentBEIS/inspect_evalsWrote 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/ukgovernmentbeis/inspect_evals/read-eval-logs)<a href="https://agentmods.dev/skills/ukgovernmentbeis/inspect_evals/read-eval-logs"><img src="https://agentmods.dev/badge/skills/ukgovernmentbeis/inspect_evals/read-eval-logs/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/ukgovernmentbeis/inspect_evals/read-eval-logs"><img src="https://agentmods.dev/badge/skills/ukgovernmentbeis/inspect_evals/read-eval-logs.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 | $0.00036 | $0.02068 |
| Opus 5 | $0.00018 | $0.01034 |
| Sonnet 5 | $0.00007 | $0.00414 |
| Haiku 4.5 | $0.00004 | $0.00207 |
Grade A, and why
read-eval-logs 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 281 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analysing Eval Log Files
This skill covers how to view and analyse Inspect evaluation log files using the Python API and CLI commands.
Quick Reference
CLI Commands
# List all logs in the default log directory (./logs or INSPECT_LOG_DIR)
uv run inspect log list --json
# List logs with specific status
uv run inspect log list --json --status success
uv run inspect log list --json --status error
# List retryable logs (error/cancelled without subsequent success)
uv run inspect log list --json --retryable
# Dump a log file as JSON (works with any format: .eval or .json)
uv run inspect log dump <log_file_path>
# Convert between log formats
uv run inspect log convert source.json --to eval --output-dir log-output
uv run inspect log convert logs/ --to eval --output-dir logs-eval
# Get JSON schema for log files
uv run inspect log schema
Interactive Log Viewer
# Start the interactive log viewer (updates automatically)
uv run inspect view
Python API
Key Imports
from inspect_ai.log import (
# Listing and reading
list_eval_logs,
read_eval_log,
read_eval_log_sample,
read_eval_log_samples,
read_eval_log_sample_summaries,
# Writing
write_eval_log,
# Utilities
retryable_eval_logs,
recompute_metrics,
resolve_sample_attachments,
# Types
EvalLog,
EvalLogInfo,
EvalSample,
EvalSampleSummary,
)
Listing Logs
# List all logs in default directory
logs = list_eval_logs()
# List logs in a specific directory
logs = list_eval_logs(log_dir="./experiment-logs")
# Filter by format
logs = list_eval_logs(formats=["eval"]) # Only .eval files
# Filter with a custom function (receives header-only EvalLog)
logs = list_eval_logs(filter=lambda log: log.status == "success")
# Non-recursive listing
logs = list_eval_logs(recursive=False)
Reading Logs
# Read full log
log = read_eval_log("path/to/logfile.eval")
# Read header only (fast, excludes samples)
log = read_eval_log("path/to/logfile.eval", header_only=True)
# Read with attachments resolved
log = read_eval_log("path/to/logfile.eval", resolve_attachments=True)
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.
- 9d ago First seen · 281 lines · 36 tokens per session scan A 006bb5daa74e
read-eval-logs is a skill published in the GitHub repository UKGovernmentBEIS/inspect_evals (662 stars, last pushed today), licensed MIT. It adds 36 tokens to every session and 2,068 once invoked, about $0.0002 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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