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/ai-analyst-lab/agentxp/analyzenpx skills add ai-analyst-lab/agentxp --skill analyzegit 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/analyze)<a href="https://agentmods.dev/skills/ai-analyst-lab/agentxp/analyze"><img src="https://agentmods.dev/badge/skills/ai-analyst-lab/agentxp/analyze.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00043 | $0.02973 |
| Opus 5 | $0.00022 | $0.01486 |
| Sonnet 5 | $0.00009 | $0.00595 |
| Haiku 4.5 | $0.00004 | $0.00297 |
Grade A, and why
analyze 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 3d 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 — 295 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: /analyze
Purpose
The analyze verb runs from a sealed brief through verdict + readout. Its first action is to verify the brief's three-part integrity lock (design_chain_hash + metric_snapshot + expected_shape). Any mismatch refuses entry; there is no --force.
On verify pass, the loop is fixed by the worldview:
- SRM first (R2) — no metric value is read before the assignment ratio is checked
- Stats only from the whitelist (R4) — every number comes from
agentxp.stats.* - Verdict from the decision tree (R3) —
walk_tree()is the only path - Narrator blind to hypothesis direction (R5) —
AnalystNarratorBundleenforces this - Critic fires at every commit (R6)
- Confidence labels computed, not chosen (R8)
- Every readout claim cites an artifact (R7)
When to invoke
Direct: /analyze --brief experiments/<id>/brief.sealed.yaml
Plain-English routing:
| Phrase | What to do |
|---|---|
| "Analyze experiment exp_001" | /analyze --brief experiments/exp_001/brief.sealed.yaml |
| "What does the data say" (sealed brief in context) | /analyze --brief <path> |
| "Run the analysis for the checkout test" | /analyze --brief <path> |
| "Analyze before sealing the brief" | REFUSE — R1 + R11 require a sealed pre-registration |
Procedure (do these in order)
1. Verify the seal (R11 wall)
from pathlib import Path
from agentxp.workflows.analyze import verify_and_open
from agentxp.schemas.brief_seal import BriefSealMismatch
try:
sealed = verify_and_open(Path(args.brief), Path.cwd())
except BriefSealMismatch as exc:
print(f"REFUSED: {exc}")
raise SystemExit(1)
If verify fails: print the specific reason (which lock component, current vs sealed hash), exit. The user resolves the drift (rev the brief, restore the metric, etc.) and re-invokes.
If verify passes: print the experiment id + the integrity-lock receipt (truncated hashes for display).
2. SRM check (R2 — always first)
Before any metric value is read, run SRM:
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.
- 3d ago First seen · 295 lines · 43 tokens per session scan A c3ff03debe0a
analyze is a skill published in the GitHub repository ai-analyst-lab/agentxp (11 stars, last pushed 6d ago), licensed Apache-2.0. It adds 43 tokens to every session and 2,973 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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