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/atuljha23/holocron/perfgit clone --depth 1 https://github.com/atuljha23/holocronWrote 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/atuljha23/holocron/perf)<a href="https://agentmods.dev/commands/atuljha23/holocron/perf"><img src="https://agentmods.dev/badge/commands/atuljha23/holocron/perf.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 | $0.00036 | $0.00313 |
| Opus 5 | $0.00018 | $0.00156 |
| Sonnet 5 | $0.00007 | $0.00063 |
| Haiku 4.5 | $0.00004 | $0.00031 |
Grade A, and why
perf 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 4d 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.
What it actually says
/holocron:perf
Target: $ARGUMENTS — or working-tree diff if no arg.
Gather
git diff --statto see the change sizegit diff package.json(if present) to detect new deps- If the change includes migrations (
migrations/,alembic/,db/migrate/), include them - If the change includes query code (look for
SELECT, query builders, ORM calls), include those files
Delegate
Spawn @perf-engineer on the selected context.
Ask for
- Frontend — bundle delta, likely LCP/CLS impact on changed components, render-hotspot hints.
- Backend — N+1 candidates, missing-index candidates, per-request allocation concerns.
- Each finding: file:line, cost estimate (low/medium/high with reason), concrete fix, how to verify the fix helped.
Do not
- Accept generic "add caching" as the only recommendation. Push back for evidence caching helps here.
- Report "possible issue" without pointing at the specific line.
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.
- 4d ago First seen · 32 lines · 36 tokens per session scan A 6575f4434db3
perf is a command published in the GitHub repository atuljha23/holocron (2 stars, last pushed 4mo ago), licensed MIT. It adds 36 tokens to every session and 313 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 2026-08-31.
Other commands, from other repositories
learn
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insights
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wiki
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handoff
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commit
Create a well-crafted commit after running pro-workflow quality checks.
skill-optimize
Train a skill's SKILL.md by running a SkillOpt-flavored offline loop over accumulated learn-rule corrections.