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/chaunsin/agent-skills/rclone_test_makefilesgit clone --depth 1 https://github.com/chaunsin/agent-skillsWrote 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/chaunsin/agent-skills/rclone_test_makefiles)<a href="https://agentmods.dev/commands/chaunsin/agent-skills/rclone_test_makefiles"><img src="https://agentmods.dev/badge/commands/chaunsin/agent-skills/rclone_test_makefiles.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 | $0.00008 | $0.00433 |
| Opus 5 | $0.00004 | $0.00217 |
| Sonnet 5 | $0.00002 | $0.00087 |
| Haiku 4.5 | $0.00001 | $0.00043 |
Grade A, and why
rclone_test_makefiles 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 yesterday.
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
Official documentation: https://rclone.org/commands/rclone_test_makefiles/
rclone test makefiles
Make a random file hierarchy in a directory
rclone test makefiles <dir> [flags]
Options
--ascii Fill files with random ASCII printable bytes only
--chargen Fill files with a ASCII chargen pattern
--files int Number of files to create (default 1000)
--files-per-directory int Average number of files per directory (default 10)
--flat If set create all files in the root directory
-h, --help help for makefiles
--max-depth int Maximum depth of directory hierarchy (default 10)
--max-file-size SizeSuffix Maximum size of files to create (default 100)
--max-name-length int Maximum size of file names (default 12)
--min-file-size SizeSuffix Minimum size of file to create
--min-name-length int Minimum size of file names (default 4)
--pattern Fill files with a periodic pattern
--seed int Seed for the random number generator (0 for random) (default 1)
--sparse Make the files sparse (appear to be filled with ASCII 0x00)
--zero Fill files with ASCII 0x00
See the global flags page for global options not listed here.
See Also
- rclone test - Run a test command
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.
- yesterday First seen · 48 lines · 8 tokens per session scan A 68839502138f
rclone_test_makefiles is a command published in the GitHub repository chaunsin/agent-skills (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 8 tokens to every session and 433 once invoked, about $0.0000 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 2026-09-03.
Other commands, from other repositories
create-spec
Generate comprehensive feature specifications using a contract-first approach that ensures complete alignment between developer and AI before creating any supporting files. This command eliminates presumptuous file creation by establishing a clear "contract" through structured clarification rounds.
create-adr
Create comprehensive Architecture Decision Records (ADRs) that systematically document architectural decisions with clear rationale, alternatives considered, and consequences through a structured analysis and review process.
execute-task
Execute a specific task and its sub-tasks systematically following a Test-Driven Development (TDD) workflow. This command reads task specifications from .code-captain/specs/ directories and implements features with comprehensive testing, following established code standards and best practices.
initialize
Set up technical foundation and development infrastructure by detecting if this is a greenfield (new) or brownfield (existing) project and executing the appropriate technical setup workflow.
plan-product
Generate comprehensive product planning documentation using a contract-first approach that establishes clear product vision, mission, and roadmap before creating any supporting files. This command eliminates assumptions by gathering complete product context through structured discovery, then creates a complete product…
status
A command that provides developers with a comprehensive status report when starting work or switching context. Analyzes current git state, active work, and project health to orient developers and suggest next actions.