CLI-Anything turns software and services into command-line interfaces that AI agents can use to perform tasks and produce artifacts. It is intended for people building or using agent workflows with tools such as coding assistants, design software, and other applications. The catalogue entries are skills, commands, a plugin, and a rule for working with CLI-Anything.
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 HKUDS/CLI-Anything --skill cli-anything-nsloggergit clone --depth 1 https://github.com/HKUDS/CLI-AnythingWrote 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/hkuds/cli-anything/cli-anything-nslogger)<a href="https://agentmods.dev/skills/hkuds/cli-anything/cli-anything-nslogger"><img src="https://agentmods.dev/badge/skills/hkuds/cli-anything/cli-anything-nslogger/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/hkuds/cli-anything/cli-anything-nslogger"><img src="https://agentmods.dev/badge/skills/hkuds/cli-anything/cli-anything-nslogger.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 | $0.00036 | $0.01496 |
| Opus 5.5 | $0.00014 | $0.00598 |
| Sonnet 5.5 | $0.00007 | $0.00299 |
| Haiku 4.5 | $0.00004 | $0.00150 |
Grade A, and why
cli-anything-nslogger 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 27d 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 — 189 lines — stays where its author put it; the contents beside it link to each section on GitHub.
cli-anything-nslogger
A complete CLI harness for NSLogger, the macOS log viewer for iOS/macOS apps.
Installation
cd nslogger/agent-harness
pip install -e .
# Verify
cli-anything-nslogger --help
Command Reference
generate — Create sample files for testing
cli-anything-nslogger generate sample.rawnsloggerdata --count 50
read — Display messages from a file
# All messages
cli-anything-nslogger read session.rawnsloggerdata
# Errors only (level 0)
cli-anything-nslogger read session.rawnsloggerdata --level 0
# Filter by tag and text search
cli-anything-nslogger read session.rawnsloggerdata --tag Network --search "timeout"
# First 20 messages as JSON
cli-anything-nslogger read session.rawnsloggerdata --limit 20 --json
filter — Advanced filtering
# Errors and warnings only
cli-anything-nslogger filter session.rawnsloggerdata --level 1
# By tag
cli-anything-nslogger filter session.rawnsloggerdata --tag Auth --tag Network
# Regex search
cli-anything-nslogger filter session.rawnsloggerdata --regex "(timeout|failed|error)"
# By thread
cli-anything-nslogger filter session.rawnsloggerdata --thread "main"
# JSON output
cli-anything-nslogger filter session.rawnsloggerdata --level 0 --json
export — Export to text/JSON/CSV
# JSON to stdout
cli-anything-nslogger export session.rawnsloggerdata --format json
# CSV to file
cli-anything-nslogger export session.rawnsloggerdata --format csv --output logs.csv
# Filtered text export
cli-anything-nslogger export session.rawnsloggerdata --format text --level 1 --tag Network
stats — Summary statistics
# Human-readable summary
cli-anything-nslogger stats session.rawnsloggerdata
# JSON for agent consumption
cli-anything-nslogger stats session.rawnsloggerdata --json
JSON output shape:
{
"total": 342,
"by_level": {"ERROR": 12, "WARNING": 34, "INFO": 200, "DEBUG": 96},
"by_tag": {"Network": 89, "Auth": 45, "UI": 120},
"by_thread": {"main": 200, "bg-queue": 142},
"by_type": {"text": 340, "client_info": 1, "disconnect": 1},
"clients": ["MyApp"],
"first_timestamp": "2024-01-01T10:00:00+00:00",
"last_timestamp": "2024-01-01T10:05:30+00:00",
"duration_seconds": 330.0
}
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.
- 27d ago First seen · 189 lines · 36 tokens per session scan A b3c5a89018f9
cli-anything-nslogger is a skill published in the GitHub repository HKUDS/CLI-Anything (55,224 stars, last pushed 28d ago), licensed Apache-2.0. It adds 36 tokens to every session and 1,496 once invoked, about $0.0001 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 2026-09-23.
Other skills, from other repositories
crash-risk-audit
Detects force unwraps, force casts, force try, and other crash-prone Swift patterns that can cause unrecoverable crashes during App Store review, violating Guideline 2.1.
ipad-layout-audit
Detects hardcoded iPhone-sized widths, missing iPad orientation keys, and absent size-class adaptation that cause layout failures on iPad reviewers' devices under guidelines 2.1 and 2.4.1.
argent-metro-debugger
Debug a JS runtime via CDP using argent debugger tools. Primary path is React Native via Metro (iOS / Android / Vega); a subset of the tools (debugger-connect, debugger-status, debugger-evaluate, debugger-log-registry) also drive a Chromium (CDP) app's renderer (an Electron app, or any Chromium browser exposing CDP)…
argent-react-native-optimization
Optimizes a React Native app by profiling first to find real bottlenecks, then sweeping for mechanical issues. Entry-point for all performance work. Use when the app feels slow, user asks to optimize, fix re-renders, reduce jank, or improve startup. Delegates to argent-react-native-profiler for measurement.
sentry-app-setup
Create and configure a Sentry internal integration so the assistant can manage issues, alerts, and releases under its own identity.
argent-native-profiler
Native profiling for CPU hotspots, UI hangs, memory issues. iOS via xctrace; Android via Perfetto. Use when diagnosing native-level performance issues.