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 commands/jabrena/plinth/profilegit clone --depth 1 https://github.com/jabrena/plinthWhat 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 | $0.00010 | $0.00411 |
| Opus 5 | $0.00005 | $0.00205 |
| Sonnet 5 | $0.00002 | $0.00082 |
| Haiku 4.5 | $0.00001 | $0.00041 |
Grade A, and why
profile 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 yesterday.
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
profile
Coordinate a Java profiling lifecycle from reproducible baseline through evidence-backed optimization verification.
Usage
/profile <application-or-module> [issue|plan|openspec-change|suspected-problem] [runtime-command] [workload]
Accepted inputs
- Application, module, or repository path
- Optional issue, implementation plan, OpenSpec change, or suspected performance problem
- Runtime command and representative workload
- Optional existing baseline or profiling artifacts
Owner and skills
- Owner:
@plinth-java-performance - Associated skills:
@161-java-profiling-detect,@162-java-profiling-analyze,@163-java-profiling-refactor, and@164-java-profiling-verify
Workflow
- Record runtime, environment, workload, and baseline metadata.
- Use profiling detection to collect reproducible evidence.
- Analyze hotspots and rank findings by impact, confidence, and risk.
- Ask for user approval before selecting an optimization target.
- Delegate application-code changes to the appropriate Java/framework coder agent.
- Repeat an equivalent measurement and compare against the baseline.
- Report the outcome as verified, inconclusive, or regressed with evidence.
Output
- Baseline metadata
- Profiling artifacts and findings
- Prioritized optimization recommendation
- Delegation record
- Before/after comparison
- Verified, inconclusive, or regressed outcome
Safeguards
- Do not optimize without user approval.
- Do not claim improvement from non-equivalent measurements.
- Do not let
@plinth-java-performanceimplement application-code changes directly. - Keep baseline, evidence, delegation, and verification artifacts traceable.
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.
- yesterday First seen · 60 lines · 10 tokens per session scan A 00ce8c3a4329
profile is a command published in the GitHub repository jabrena/plinth (435 stars, last pushed today), licensed Apache-2.0. It adds 10 tokens to every session and 411 once invoked, about $0.0001 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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converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.