Borrowing it
Nothing to install: this file belongs to ai-analyst-lab/agentxp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ai-analyst-lab/agentxp/main/.claude/skills/readouts/SKILL.mdgit clone --depth 1 https://github.com/ai-analyst-lab/agentxpWrote 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/ai-analyst-lab/agentxp/readouts)<a href="https://agentmods.dev/skills/ai-analyst-lab/agentxp/readouts"><img src="https://agentmods.dev/badge/skills/ai-analyst-lab/agentxp/readouts/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/ai-analyst-lab/agentxp/readouts"><img src="https://agentmods.dev/badge/skills/ai-analyst-lab/agentxp/readouts.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 | $0.00026 | $0.00737 |
| Opus 5.5 | $0.00010 | $0.00295 |
| Sonnet 5.5 | $0.00005 | $0.00147 |
| Haiku 4.5 | $0.00003 | $0.00074 |
Grade A, and why
readouts 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 2mo 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 — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: /readouts
Purpose
Every readout produced by the presentation spine appends one entry to experiments/<id>/readouts/catalog.jsonl — an append-only hash-chained ledger. This skill walks the catalog (per-experiment or cross-experiment), validates the chain, and regenerates the static HTML index navigator.
The catalog is the only surviving hash chain in v2; tampering breaks it independently of git.
When to invoke
Direct:
/readouts <exp_id>— list this experiment's renders/readouts --index— regenerate the cross-experiment HTML navigator/readouts <exp_id> --validate— walk the chain, exit non-zero on break
Plain-English routing:
| Phrase | What to do |
|---|---|
| "Show me the renders for exp_001" | /readouts exp_001 |
| "Rebuild the audit index" | /readouts --index |
| "Is the catalog intact" | /readouts <exp_id> --validate |
| "What readouts have I made across all experiments" | /readouts --index |
Procedure
Catalog mode
from pathlib import Path
from agentxp.workflows.readouts import list_catalog
entries = list_catalog(Path.cwd() / "experiments" / args.exp_id)
for i, entry in enumerate(entries):
payload = entry.payload
print(f"{i:>3} {entry.timestamp} {payload.event:<26} ...")
Index mode
from agentxp.workflows.readouts import build_index
rows = build_index(Path.cwd())
# Each row: experiment_id, n_renders, worst_status, latest_render_type, latest_render_at
Render an HTML table from the rows and write to readouts/index.html. The worst-case status per experiment uses the cascade: UNVERIFIABLE > DRAFT_UNVERIFIED > VERIFIED.
Validate mode
from agentxp.render.catalog import validate_catalog, CatalogChainBreak
try:
validate_catalog(Path.cwd() / "experiments" / args.exp_id / "readouts" / "catalog.jsonl")
print("catalog chain ok")
except CatalogChainBreak as exc:
print(f"catalog chain break: {exc}", file=sys.stderr)
raise SystemExit(1)
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.
- 2mo ago First seen · 88 lines · 26 tokens per session scan A 76560b60ea9a
readouts is a skill published in the GitHub repository ai-analyst-lab/agentxp (12 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 26 tokens to every session and 737 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.
readouts compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| readoutsai-analyst-lab/agentxp | Skill | 12 | 2mo ago | Apache-2.0 | A | 26 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |