implement-phase

implement-phase is a skill for Claude Code from mhylle/claude-skills-collection. It costs 66 tokens per session (3,866 once invoked), scanned B, original, MIT.

A workflow for completing one phase of an implementation plan. It coordinates separate agents to write code, run tests, fix problems, review the result, and keep the plan synchronized.

In plain words
What is it for?
Use it to execute a single planned phase while enforcing code changes, tests, reviews, architecture-decision checks, and progress updates through delegated agents.
Why use it?
It divides a large implementation into a checked, trackable unit and preserves the main agent's planning context.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: reads .claude/ paths; mentions subagents; names the NotebookEdit tool.

Part of the devflow plugin — 38 skills, 13 agents, 5 hooks shipped together

Good fit Use it to execute a single planned phase while enforcing code changes, tests, reviews, architecture-decision checks, and progress updates through delegated agents.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mhylle/claude-skills-collection/implement-phase
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.

Any agent
npx skills add mhylle/claude-skills-collection --skill implement-phase
Clone the repo
git clone --depth 1 https://github.com/mhylle/claude-skills-collection

Made for: Claude Code.

Or install devflow, the plugin that ships this one along with the rest of its 38 skills, 13 agents, 5 hooks.

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.

agentmods badge for implement-phase

README.md
[![agentmods](https://agentmods.dev/badge/skills/mhylle/claude-skills-collection/implement-phase/github.svg)](https://agentmods.dev/skills/mhylle/claude-skills-collection/implement-phase)
Your own site
<a href="https://agentmods.dev/skills/mhylle/claude-skills-collection/implement-phase"><img src="https://agentmods.dev/badge/skills/mhylle/claude-skills-collection/implement-phase/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.

agentmods 80×15 button for implement-phase

Your own site · 80×15
<a href="https://agentmods.dev/skills/mhylle/claude-skills-collection/implement-phase"><img src="https://agentmods.dev/badge/skills/mhylle/claude-skills-collection/implement-phase.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,866 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 2 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00066 $0.03866
Opus 5 $0.00033 $0.01933
Sonnet 5 $0.00013 $0.00773
Haiku 4.5 $0.00007 $0.00387

Measured 9d ago against content hash d3ee2b26bf0b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade B, and why

implement-phase scanned grade B with 2 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 9d 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.

Reads agent configuration directoriesmediumAgent snooping

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

# Global defaults (~/.claude/settings.json)

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

**You are the tester.** Not the user. API → curl/httpie/fetch subagent. Web UI → `browser-verification-agent` (one test scenario per spawn). CLI → execute and verify output. Database → query and verify.
skills/implement-phase/SKILL.md · 392 lines

How it starts

The opening of the file, as written. The whole thing — 392 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Implement Phase

Execute a single phase from an implementation plan with comprehensive quality gates. Designed to be called by implement-plan, but can also be invoked directly.


Orchestrator pattern (non-negotiable)

This session is an orchestrator. Never implement code directly.

DO (orchestrator) DON'T (direct implementation)
Spawn subagents to write code Write code yourself
Spawn subagents to create files Use Write/Edit tools directly
Spawn subagents to run tests Run tests yourself
Spawn subagents to fix issues Fix code yourself
Read files to understand context Read files to copy/paste code
Track progress with Task tools Implement while tracking
Coordinate and delegate Do the work yourself

Violations: using Write/Edit/NotebookEdit directly, creating files without spawning a subagent, fixing code without spawning a subagent, running implementation commands directly.

Why orchestrate?

  • Context preservation — main session retains full plan context.
  • Parallelization — independent tasks run concurrently.
  • Clean separation — orchestration logic stays separate from implementation.
  • Better error handling — subagent failures don't pollute main context.

Subagent communication protocolreferences/subagent-protocol.md. Every subagent prompt must include a response-format block demanding terse STATUS/FILES/ERRORS output and disk-based logs for large output. Verbose subagent responses are the single biggest context waster this skill faces.


Execution contract (read before starting)

Steps 1–8 execute as one continuous operation. The orchestrator does not pause between them.

current_step = 1
while current_step <= 8:
    result = execute_step(current_step)
    if result == PASS:
        current_step += 1          # AUTO-CONTINUE, no user pause
    elif result == FAIL:
        fix_and_retry(current_step)  # Stay on step, spawn fix subagent, retry
    elif result == BLOCKED:
        return BLOCKED               # Only valid early exit
return COMPLETE                      # Only stop here (after Step 8)

Read the full file on GitHub · 392 lines

Files

What ships with it

6 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.

  1. 9d ago First seen · 392 lines · 66 tokens per session scan B d3ee2b26bf0b

Subscribe to this mod's changes

implement-phase is a skill published in the GitHub repository mhylle/claude-skills-collection (18 stars, last pushed 7d ago), licensed MIT. It adds 66 tokens to every session and 3,866 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 2 findings (reads agent configuration directories, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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