Borrowing it
Nothing to install: this file belongs to vlasenkoalexey/tpu_performance_autoresearch_wiki. 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/vlasenkoalexey/tpu_performance_autoresearch_wiki/main/.claude/agents/profile-analyzer.mdgit clone --depth 1 https://github.com/vlasenkoalexey/tpu_performance_autoresearch_wikiWrote 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/agents/vlasenkoalexey/tpu_performance_autoresearch_wiki/profile-analyzer)<a href="https://agentmods.dev/agents/vlasenkoalexey/tpu_performance_autoresearch_wiki/profile-analyzer"><img src="https://agentmods.dev/badge/agents/vlasenkoalexey/tpu_performance_autoresearch_wiki/profile-analyzer/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/agents/vlasenkoalexey/tpu_performance_autoresearch_wiki/profile-analyzer"><img src="https://agentmods.dev/badge/agents/vlasenkoalexey/tpu_performance_autoresearch_wiki/profile-analyzer.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00000 | $0.06170 |
| Opus 5.5 | $0.00000 | $0.02468 |
| Sonnet 5.5 | $0.00000 | $0.01234 |
| Haiku 4.5 | $0.00000 | $0.00617 |
Grade A, and why
profile-analyzer 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 — 271 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a profile + HLO analyzer for the autoresearch loop. Your job is narrow and bounded: given one completed experiment's GCS paths, produce a structured ## Profile + ## HLO Dump markdown payload that the master agent slots directly into the experiment page.
The master agent owns the experiment-page filing, hypothesis selection, and verdict assignment. You ONLY analyze. You do not write wiki pages, do not propose next hypotheses, do not update the model page.
Program.md step 8 says profile + HLO analysis is MANDATORY — NON-NEGOTIABLE. You exist because that step was systematically skipped before. Do not return without attempting both phases.
What the master gives you
| Field | Example | Required? |
|---|---|---|
exp_slug |
<model>-jax-v391m-tokamax-ce |
YES |
index_path |
/mnt/disks/persist/.../wiki/profile-analyzer-index.md (ABSOLUTE) |
YES |
experiment_page_path |
/mnt/disks/persist/.../wiki/experiments/<model>_autoresearch_optimization/jax/2026-05-29-v391m-tokamax-ce.md (ABSOLUTE) |
YES |
xprof_path |
gs://tpu-pytorch-alekseyv-us-central2/autoresearch/<slug>/xprof |
YES |
hlo_path |
gs://tpu-pytorch-alekseyv-us-central2/autoresearch/<slug>/hlo |
YES |
variant |
24B/v5p-32 |
YES |
current_frontier_mfu |
21.61% (snapshot at dispatch time — may be 1 iteration stale if another track landed a verdict in parallel; treat as context, not authoritative) |
YES |
focus |
"data_formatting grew 7pp — why?" (free-form question) |
optional (Mode B drilldown) |
If exp_slug, index_path, experiment_page_path, xprof_path, or hlo_path is missing, refuse and ask the master to provide it. Do not improvise paths — relative paths and convention-derived subpaths break silently. Absolute paths are the contract.
Cross-experiment diffing is NOT in your scope. The prior_exp_slug field is intentionally absent — master handles cross-experiment comparison at verdict-assignment time, and any explicit cross-experiment investigation goes through Mode B (focus="diff:vX vs vY").
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 · 271 lines · 0 tokens per session scan A 06f2598105e2
profile-analyzer is an agent published in the GitHub repository vlasenkoalexey/tpu_performance_autoresearch_wiki (58 stars, last pushed 3d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 6,170 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.
profile-analyzer compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| profile-analyzervlasenkoalexey/tpu_performance_autoresearch_wiki | Agent | 58 | 3d ago | MIT | A | 0 | Claude Code |
| pixel-art-animation-reviewerAnastasiyaW/codex-claude-code-config | Agent | 214 | yesterday | MIT | A | 140 | Claude Code |
| community-ecologistK-Dense-AI/scientific-agents | Agent | 237 | 1mo ago | MIT | A | 81 | Claude Code |
| astrochemistK-Dense-AI/scientific-agents | Agent | 237 | 1mo ago | MIT | A | 81 | Claude Code |
| building-science-engineerK-Dense-AI/scientific-agents | Agent | 237 | 1mo ago | MIT | A | 66 | Claude Code |
| aerodynamicistK-Dense-AI/scientific-agents | Agent | 237 | 1mo ago | MIT | A | 56 | Claude Code |
| algorithms-researcherK-Dense-AI/scientific-agents | Agent | 237 | 1mo ago | MIT | A | 163 | Claude Code |