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.
git clone --depth 1 https://github.com/solanabr/solana-ai-kitWrote 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/commands/solanabr/solana-ai-kit/profile-cu)<a href="https://agentmods.dev/commands/solanabr/solana-ai-kit/profile-cu"><img src="https://agentmods.dev/badge/commands/solanabr/solana-ai-kit/profile-cu/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/commands/solanabr/solana-ai-kit/profile-cu"><img src="https://agentmods.dev/badge/commands/solanabr/solana-ai-kit/profile-cu.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 | $0.00010 | $0.00654 |
| Opus 5.5 | $0.00004 | $0.00262 |
| Sonnet 5.5 | $0.00002 | $0.00131 |
| Haiku 4.5 | $0.00001 | $0.00065 |
Grade A, and why
profile-cu 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 1mo 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- profile-cu — 100% identical, 170 lines differ
- profile-cu — 100% identical, 170 lines differ
How it starts
The opening of the file, as written. The whole thing — 32 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Measure CU per instruction for the program(s) in $ARGUMENTS (default: every program in the workspace) and point at the costly code. To compare with the stored baseline (.claude/benchmarks/cu-baseline.json) or save a new one, use /benchmark. Harness APIs: testing.md; optimization techniques: programs/pinocchio.md.
Steps
-
Build the way you deploy (
anchor build/cargo build-sbf) with debug-log features off, sincemsg!formatting inflates CU. -
Collect CU per instruction from whichever harness the project has:
- Mollusk:
compute_units_consumedon the instruction result;MolluskComputeUnitBencherwrites a markdown table with deltas to itsout_dir. - LiteSVM: the metadata returned by
send_transactioncarriescompute_units_consumed; send one instruction per transaction to isolate it. - Surfpool, for real mainnet accounts and CPIs into deployed protocols:
surfnet_profileTransactionreturnstransactionProfile.computeUnitsConsumedand per-instructioninstructionProfiles. Starting Surfpool with--cidisables instruction profiling, and a v1 transaction budgets 0 CU unlesscomputeUnitLimitis set. - Logs:
Program <id> consumed N of M compute unitsappears once per invocation, and an outer program's figure already includes its CPIs, so don't add nested lines together.
Measure each instruction's worst path (most accounts, longest vectors, first-time init) as well as the happy path.
- Mollusk:
-
Inside a costly instruction, bracket sections with
sol_log_compute_units()to find where the CU goes. -
Classify:
CU per instruction Verdict < 50k Efficient 50k-100k Fine; review if on a hot path 100k-200k Warning: little headroom for CPIs or composing with other instructions > 200k Critical: above the 200k per-instruction default of legacy/v0 txs, so every client must raise the limit (1.4M max per tx); optimize or split -
Suggest fixes for the costly ones: store the canonical bump and verify with it (
bump = acct.bump), since each derivation attempt costs 1,500 CU andfind_program_addressmay need several; remove or feature-gatemsg!, especially with formatting; zero-copy (AccountLoader) for large accounts; fewer and smaller account deserializations. Hand CU-bound hot paths to pinocchio-engineer.
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.
- 1mo ago Changed · -128 lines · -1 tokens per session 9605c913d38d
- 1mo ago Changed 0d713ed03c25
- 1mo ago First seen · 160 lines · 11 tokens per session scan A 16254b82e53c
profile-cu is a command published in the GitHub repository solanabr/solana-ai-kit (104 stars, last pushed 1mo ago), licensed MIT. It adds 10 tokens to every session and 654 once invoked, about $0.0000 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.
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