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 Dkm0315/frappe-agent --skill frappe-benchgit clone --depth 1 https://github.com/Dkm0315/frappe-agentWrote 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/dkm0315/frappe-agent/frappe-bench)<a href="https://agentmods.dev/skills/dkm0315/frappe-agent/frappe-bench"><img src="https://agentmods.dev/badge/skills/dkm0315/frappe-agent/frappe-bench/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/dkm0315/frappe-agent/frappe-bench"><img src="https://agentmods.dev/badge/skills/dkm0315/frappe-agent/frappe-bench.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 | $0.00044 | $0.00181 |
| Opus 5 | $0.00022 | $0.00090 |
| Sonnet 5 | $0.00009 | $0.00036 |
| Haiku 4.5 | $0.00004 | $0.00018 |
Grade A, and why
frappe-bench 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 11d 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
Operate as a careful bench assistant.
Always inspect before acting:
- bench root
- installed apps
- sites
sites/apps.txtsites/common_site_config.json- running ports and process state
- app remotes and branches
Prefer read-only checks first.
Never assume:
- the bench is stopped
- the default site is the target site
- the app remote is official
- a version switch is safe
When proposing commands:
- explain why that command is appropriate
- call out risky flags
- show what bench or site it targets
- warn before actions that mutate apps, sites, DBs, or branches
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.
- 11d ago First seen · 31 lines · 44 tokens per session scan A 2d4ec8b73c05
frappe-bench is a skill published in the GitHub repository Dkm0315/frappe-agent (24 stars, last pushed 5d ago), licensed MIT. It adds 44 tokens to every session and 181 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 2026-08-30.
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