Borrowing it
Nothing to install: this file belongs to upgrade-ventures/upgradeseo. 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/upgrade-ventures/upgradeseo/main/.agents/skills/maintain-greptile-rules/SKILL.mdgit clone --depth 1 https://github.com/upgrade-ventures/upgradeseoWrote 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/upgrade-ventures/upgradeseo/maintain-greptile-rules)<a href="https://agentmods.dev/skills/upgrade-ventures/upgradeseo/maintain-greptile-rules"><img src="https://agentmods.dev/badge/skills/upgrade-ventures/upgradeseo/maintain-greptile-rules/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/upgrade-ventures/upgradeseo/maintain-greptile-rules"><img src="https://agentmods.dev/badge/skills/upgrade-ventures/upgradeseo/maintain-greptile-rules.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 | $0.00097 | $0.00928 |
| Opus 5 | $0.00048 | $0.00464 |
| Sonnet 5 | $0.00019 | $0.00186 |
| Haiku 4.5 | $0.00010 | $0.00093 |
Grade A, and why
maintain-greptile-rules 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 8d 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.
This is a copy
98% identical to maintain-greptile-rules — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Maintain Greptile rules
Keep .greptile/ high-signal. A review finding is evidence to evaluate, not automatically a new rule.
1. Verify the finding
- Reproduce or trace the finding against the current repository, including the relevant call path, tests, and intentional exceptions.
- Read
.greptile/config.json,.greptile/rules.md, and.greptile/files.jsonbefore proposing a change. - Distinguish a newly introduced risk from adjacent legacy debt. Do not encode an unverified assumption or a one-off implementation detail.
- Repository absence is not policy evidence. If a reviewer infers a preference only because no current example exists, leave Greptile, code, and CI unchanged unless an owner explicitly adopts the policy.
2. Route it to the right mechanism
- One-off bug: fix the code and add a focused regression test. Do not add a Greptile rule.
- Verified deterministic policy violation: prefer TypeScript, Oxlint, Knip, a focused test, or CI.
- Repeatable, diff-enforceable invariant: add or refine a scoped structured rule in
.greptile/config.json. - Architecture, preference, or false-positive calibration: update
.greptile/rules.md. - Canonical implementation Greptile should consult: add a narrowly scoped reference in
.greptile/files.json. - Small workflow friction: use the
papercutsskill and log it in.agents/PAPERCUTS.md.
3. Apply the promotion bar
Promote a finding only when all applicable checks pass:
- It is verified against current code.
- A future reviewer can observe it from the diff and relevant call path.
- It is repository-specific or materially improves false-positive calibration.
- It is likely to recur, or its impact is high enough to justify prevention: authorization, security, billing, data loss, or cross-database correctness.
- Existing Greptile context and automated checks do not already cover it adequately.
- The instruction can be specific, measurable, narrowly scoped, and explicit about legitimate exceptions.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 8d ago First seen · 63 lines · 97 tokens per session scan A 5e250d9b1122
maintain-greptile-rules is a skill published in the GitHub repository upgrade-ventures/upgradeseo (1 stars, last pushed 21d ago), licensed MIT. It adds 97 tokens to every session and 928 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to maintain-greptile-rules, differing in 2 lines, and is treated as a copy.
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