Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/MichelKerkmeester/skilled-agent-harness_spec-driven-loopsnpx agentmods add skills/michelkerkmeester/skilled-agent-harness_spec-driven-loops/cli-claude-codeWrote 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/michelkerkmeester/skilled-agent-harness_spec-driven-loops/cli-claude-code)<a href="https://agentmods.dev/skills/michelkerkmeester/skilled-agent-harness_spec-driven-loops/cli-claude-code"><img src="https://agentmods.dev/badge/skills/michelkerkmeester/skilled-agent-harness_spec-driven-loops/cli-claude-code/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/michelkerkmeester/skilled-agent-harness_spec-driven-loops/cli-claude-code"><img src="https://agentmods.dev/badge/skills/michelkerkmeester/skilled-agent-harness_spec-driven-loops/cli-claude-code.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Excessive Agency · line 215 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
- medium Excessive Agency · line 256 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Excessive Agency · line 288 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00028 | $0.07043 |
| Opus 5 | $0.00014 | $0.03521 |
| Sonnet 5 | $0.00006 | $0.01409 |
| Haiku 4.5 | $0.00003 | $0.00704 |
Grade A, and why
cli-claude-code scanned grade A with 1 finding 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 4d 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
ancestry = subprocess.check_output(['ps', '-o', 'command=', '-p', str(os.getppid())]).decode() How it starts
The opening of the file, as written. The whole thing — 382 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Claude Code CLI Orchestrator - Cross-AI Task Delegation
CRITICAL — SELF-INVOCATION PROHIBITED
This skill dispatches to the Anthropic CLI binary (
claude). If the agent currently reading this skill is itself running inside Claude Code (detection signals listed in §2), the skill MUST refuse to load and return the documented error message instead of generating anyclaudeinvocation.A running CLI skill never dispatches itself. The cli-X skills are for cross-AI delegation only — never self-invocation.
Orchestrate Anthropic's Claude Code CLI from external AI assistants (OpenCode, Copilot, etc.) for tasks that benefit from deep extended thinking, surgical code editing, structured output with JSON schema validation, agent delegation, or persistent memory context.
Core Principle: The calling AI stays the conductor. Delegate to Claude Code for what it does best — deep reasoning, precise code editing, and structured analysis. Validate and integrate the output.
1. WHEN TO USE
Activation Triggers
- Deep Reasoning — extended-thinking architectural decisions, multi-dimensional trade-off analysis, step-by-step algorithm design, root-cause analysis of subtle bugs.
- Code Editing — surgical diff-based edits, pattern-preserving refactors, and multi-file coordinated changes.
- Structured Output —
--json-schema-validated output, machine-readable analysis, guaranteed-structure data extraction, pipeline integration. - Code Review — second-AI security audits, extended-thinking architecture review, cross-AI validation, pre-merge quality gates.
- Agent-Delegated Tasks — specialized
.claude/agents/*.mdmatches,--permission-mode planread-only exploration,@ai-councilplanning, session continuity (--continue,--resume). - Background Processing — long-running offloaded analysis, parallel generation/docs, batch processing with
--max-budget-usdcost control.
What ships with it
60 files 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.
- assets/prompt-quality-card.md 2.6 KB
- assets/prompt-templates.md 22 KB
- benchmark/README.md 4.3 KB
- benchmark/reports/2026-07-29--manual-testing-playbook--goal-hook/failed-runs.md 439 B
- benchmark/reports/2026-07-29--manual-testing-playbook--goal-hook/findings-and-recommendations.md 885 B
- benchmark/reports/2026-07-29--manual-testing-playbook--goal-hook/README.md 1.7 KB
- benchmark/reports/2026-07-29--manual-testing-playbook--goal-hook/results.csv 333 B
- benchmark/reports/2026-07-29--manual-testing-playbook--goal-hook/skill-benchmark-report.json 2.1 KB
- benchmark/reports/2026-07-29--manual-testing-playbook--goal-hook/skill-benchmark-report.md 2.3 KB
- benchmark/reports/2026-07-29--manual-testing-playbook--goal-hook/source.md 1.3 KB
- benchmark/reports/2026-08-08--manual-testing-playbook--claude/failed-runs.md 146 B
- benchmark/reports/2026-08-08--manual-testing-playbook--claude/findings-and-recommendations.md 194 B
- benchmark/reports/2026-08-08--manual-testing-playbook--claude/README.md 1.3 KB
- benchmark/reports/2026-08-08--manual-testing-playbook--claude/results.csv 284 B
- benchmark/reports/2026-08-08--manual-testing-playbook--claude/skill-benchmark-report.json 1.9 KB
- benchmark/reports/2026-08-08--manual-testing-playbook--claude/skill-benchmark-report.md 1.5 KB
- benchmark/reports/2026-08-08--manual-testing-playbook--claude/source.md 969 B
- benchmark/reports/README.md 1.8 KB
- changelog/v1.0.0.0.md 2.4 KB
- changelog/v1.1.1.0.md 874 B
- changelog/v1.1.10.0.md 1.1 KB
- changelog/v1.1.11.0.md 1.0 KB
- changelog/v1.1.12.0.md 1.6 KB
- changelog/v1.1.13.0.md 949 B
- changelog/v1.1.2.0.md 1.0 KB
- changelog/v1.1.3.0.md 915 B
- changelog/v1.1.4.0.md 3.8 KB
- changelog/v1.1.5.0.md 3.2 KB
- changelog/v1.1.6.0.md 2.1 KB
- changelog/v1.1.7.0.md 1.7 KB
- changelog/v1.1.8.0.md 1.8 KB
- changelog/v1.1.9.0.md 984 B
- changelog/v1.2.0.0.md 2.8 KB
- changelog/v1.3.0.0.md 2.0 KB
- changelog/v1.4.0.0.md 3.8 KB
- changelog/v1.5.0.0.md 1.2 KB
- manual-testing-playbook/agent-routing/context-agent-codebase-exploration.md 6.5 KB
- manual-testing-playbook/agent-routing/debug-agent-fresh-perspective-root-cause.md 7.3 KB
- manual-testing-playbook/agent-routing/handover-agent-context-transfer.md 8.5 KB
- manual-testing-playbook/agent-routing/multi-ai-council-multi-strategy-planning.md 7.7 KB
- manual-testing-playbook/agent-routing/orchestrate-agent-multi-step.md 7.1 KB
- manual-testing-playbook/agent-routing/research-agent-investigation.md 6.9 KB
- manual-testing-playbook/agent-routing/review-agent-security-audit.md 7.2 KB
- manual-testing-playbook/agent-routing/speckit-agent-spec-folder.md 7.9 KB
- manual-testing-playbook/cli-invocation/base-non-interactive-invocation.md 5.1 KB
- manual-testing-playbook/cli-invocation/default-model-selection-sonnet.md 5.4 KB
- manual-testing-playbook/cli-invocation/output-format-text-vs-json.md 5.1 KB
- manual-testing-playbook/cli-invocation/stream-json-incremental-output.md 5.9 KB
- manual-testing-playbook/cost-and-background/background-execution.md 6.4 KB
- manual-testing-playbook/cost-and-background/max-budget-usd-cap.md 6.1 KB
- manual-testing-playbook/git-preflight-advisory/git-preflight-advisory.md 9.6 KB
- manual-testing-playbook/goal-hook/goal-hook.md 5.1 KB
- manual-testing-playbook/integration-patterns/generate-review-fix-cycle.md 7.6 KB
- manual-testing-playbook/integration-patterns/structured-output-with-json-schema.md 7.3 KB
- manual-testing-playbook/intra-routing-recall/agent-delegation.md 5.4 KB
- manual-testing-playbook/intra-routing-recall/code-editing.md 5.2 KB
- manual-testing-playbook/intra-routing-recall/deep-reasoning.md 5.4 KB
- manual-testing-playbook/intra-routing-recall/holdout-editing.md 5.5 KB
- manual-testing-playbook/intra-routing-recall/holdout-reasoning.md 5.7 KB
- manual-testing-playbook/intra-routing-recall/negative.md 4.4 KB
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.
- 4d ago Changed 4f16142e2b62
- 6d ago First seen · 382 lines · 28 tokens per session scan A b6d659f1f12c
cli-claude-code is a skill published in the GitHub repository MichelKerkmeester/skilled-agent-harness_spec-driven-loops (35 stars, last pushed yesterday), licensed MIT. It adds 28 tokens to every session and 7,043 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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