cover

Install

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.

agentmods

npx agentmods add skills/yonatangross/orchestkit/cover

Any agent

npx skills add yonatangross/orchestkit --skill cover

Clone the repo

git clone --depth 1 https://github.com/yonatangross/orchestkit

Made for: Claude Code, Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/yonatangross/orchestkit/cover.svg)](https://agentmods.dev/skills/yonatangross/orchestkit/cover)

Your own site

<a href="https://agentmods.dev/skills/yonatangross/orchestkit/cover"><img src="https://agentmods.dev/badge/skills/yonatangross/orchestkit/cover.svg" alt="Measured on agentmods" height="20"></a>

Per session 95 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 5,712 The whole file, excluding the scripts and references it only reads on demand.

Security scan B 1 finding. Scan, not verified.

Origin unknown No closer match found in the catalogue.

Token cost

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	$0.00095	$0.05712
Opus 5	$0.00048	$0.02856
Sonnet 5	$0.00019	$0.01142
Haiku 4.5	$0.00010	$0.00571

Measured yesterday against content hash 813b3c59f6f4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade B, and why

cover scanned grade B 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 yesterday.

The scan reads SKILL.md. This mod also ships 1 executable file (workflows/heal-loop.js), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

> `.claude/settings.json` or `~/.claude/settings.json`, CC's default `"fresh"`

plugins/ork/skills/cover/SKILL.md · 493 lines

How it starts

The opening of the file, as written. The whole thing — 493 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Cover — Test Suite Generator

Generate comprehensive test suites for existing code with real-service integration testing and automated failure healing.

Note: If disableSkillShellExecution is enabled (CC 2.1.91), the precondition check for vitest/jest won't run. Verify a test runner is installed before proceeding: npx vitest --version or npx jest --version.

Quick Start

/ork:cover authentication flow
/ork:cover --model=opus payment processing
/ork:cover --tier=unit,integration user service
/ork:cover --real-services checkout pipeline

Argument Resolution

SCOPE = "$ARGUMENTS"  # e.g., "authentication flow"

# Flag parsing
MODEL_OVERRIDE = None
TIERS = ["unit", "integration", "e2e"]  # default: all three
REAL_SERVICES = False

for token in "$ARGUMENTS".split():
    if token.startswith("--model="):
        MODEL_OVERRIDE = token.split("=", 1)[1]
        SCOPE = SCOPE.replace(token, "").strip()
    elif token.startswith("--tier="):
        TIERS = token.split("=", 1)[1].split(",")
        SCOPE = SCOPE.replace(token, "").strip()
    elif token == "--real-services":
        REAL_SERVICES = True
        SCOPE = SCOPE.replace(token, "").strip()

Step -0.5: Effort-Aware Coverage Scaling (CC 2.1.76, env var since 2.1.120)

Read $CLAUDE_EFFORT (CC 2.1.120+) first; explicit --effort= token wins as override. Default high when CC < 2.1.120 and no flag. Pattern matches assess + explore (#1540). Scale test generation depth:

Effort Level	Tiers Generated	Agents	`maxIterations` to pass Phase 5
low	Unit only	1 agent	2 (1 repair + 1 verify)
medium	Unit + Integration	2 agents	2 (1 repair + 1 verify)
high (default)	Unit + Integration + E2E	3 agents	3 (2 repairs + 1 verify)
xhigh (Opus 4.8, CC 2.1.111+)	Unit + Integration + E2E	3 agents	3 (the ceiling; xhigh adds agents, not heal passes)

Values are what you pass as maxIterations in Phase 5. The script clamps to [2, 3] (heal-loop.js), so anything outside that range is coerced, and the final iteration always verifies rather than repairing. There is no 4-iteration mode.

Read the full file on GitHub · 493 lines

Files

What ships with it

5 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.

Changes

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 · 493 lines · 95 tokens per session scan B 813b3c59f6f4

Subscribe to this mod's changes

cover is a skill published in the GitHub repository yonatangross/orchestkit (225 stars, last pushed yesterday), licensed MIT. It adds 95 tokens to every session and 5,712 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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