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 skills add Autoloops/greplica --skill greplica-bootstrapgit clone --depth 1 https://github.com/Autoloops/greplicaWrote 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/autoloops/greplica/greplica-bootstrap)<a href="https://agentmods.dev/skills/autoloops/greplica/greplica-bootstrap"><img src="https://agentmods.dev/badge/skills/autoloops/greplica/greplica-bootstrap/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/skills/autoloops/greplica/greplica-bootstrap"><img src="https://agentmods.dev/badge/skills/autoloops/greplica/greplica-bootstrap.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00039 | $0.01445 |
| Opus 5.5 | $0.00016 | $0.00578 |
| Sonnet 5.5 | $0.00008 | $0.00289 |
| Haiku 4.5 | $0.00004 | $0.00145 |
Grade A, and why
greplica-bootstrap 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.
How it starts
The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Bootstrap Greplica Memory
Create shallow, useful Greplica memory for the current repository. Optimize for fast orientation, not exhaustive modeling.
Preconditions
- Run from the target repo root, a subdirectory inside it, or a non-Git folder that should have its own memory.
- Do not run
greplica doctoras routine preflight. Run needed commands directly; use failures to decide whether install or doctor would help. - If
greplicais missing, tell the user to run the Greplica setup prompt from the README. - If a Greplica command says the repo or scope is missing, run
greplica install --platform <platform> --embedding localfrom the target repo and retry once. Usecodex,claude, oropencodeto match the current agent; ask only if unclear. - Local embeddings need no API key. If OpenAI embeddings are configured and
OPENAI_API_KEYis missing, stop and tell the user to set it in their shell or repo.env.local; do not ask for the key in chat.
Fast Inspection Path
Read just enough to map the repo for a future agent:
- tracked root docs and obvious repo guidance: README, AGENTS/CLAUDE, CONTRIBUTING, CONTEXT, docs index files;
- package/config files that reveal commands, binaries, workspaces, runtime requirements, env vars, or public entrypoints;
- top-level tree and public app/lib entrypoints;
- targeted source files for central public boundaries: CLI/API dispatch, install/setup, config/env loading, storage, schema/model, validation/apply, retrieval, or health-check behavior.
Skip tests, eval harnesses, fixtures, samples, rubrics, generated output, benchmark files, and deep runbooks. If README/package docs expose an eval or test workflow, store the public command or purpose without opening fixture/sample/rubric internals. Do not open sample proposals or rubrics for format hints. Do not inspect skill files as generic docs; read them only when they are product artifacts whose workflow is part of this repo.
Stop inspecting when you can explain the repo identity, main public surfaces, important data/model boundaries, and documented workflows.
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 First seen · 92 lines · 39 tokens per session scan A 3b7ac77791aa
greplica-bootstrap is a skill published in the GitHub repository Autoloops/greplica (439 stars, last pushed 2mo ago), licensed MIT. It adds 39 tokens to every session and 1,445 once invoked, about $0.0002 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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