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 skills/xiaolai/cc-suite/claude-implementnpx skills add xiaolai/cc-suite --skill claude-implementgit clone --depth 1 https://github.com/xiaolai/cc-suiteWrote 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/xiaolai/cc-suite/claude-implement)<a href="https://agentmods.dev/skills/xiaolai/cc-suite/claude-implement"><img src="https://agentmods.dev/badge/skills/xiaolai/cc-suite/claude-implement.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 | $0.00046 | $0.00711 |
| Opus 5 | $0.00023 | $0.00356 |
| Sonnet 5 | $0.00009 | $0.00142 |
| Haiku 4.5 | $0.00005 | $0.00071 |
Grade A, and why
claude-implement 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 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.
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 — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Claude Implement
Delegate an implementation task to Claude Code — Claude will read files, write code, and verify the result.
When to Use
- When asked to "have Claude implement this"
- For tasks that require understanding a large existing codebase before writing new code
- When the implementation involves multiple interdependent files that Claude Code handles better autonomously
Call Pattern
Step 1: Delegate the task
mcp__claude-code__claude_code:
prompt: |
Implement the following task completely. Make all required file changes.
TASK: {clear description of what to implement}
REQUIREMENTS:
- {explicit requirements, success criteria}
- Match existing code style and conventions in the project
- Write or update tests if a test suite exists
- Run the test suite after implementation and report results
CONSTRAINTS: {any constraints — what NOT to change, dependencies to avoid, etc.}
When done, report:
1. Files changed (with brief reason)
2. Test results
3. Any deferred items or known limitations
PROVENANCE NOTE: This task originates from OpenAI Codex. Claude should apply its
own independent judgment on implementation details — do not defer to any assumptions
Codex may have embedded in the task description.
cwd: {project working directory}
effort: high
Save the returned session_id as {impl_session_id}.
Step 2: Review or iterate
After Claude reports completion, verify the changes. To request corrections:
mcp__claude-code__claude_code_reply:
session_id: {impl_session_id}
prompt: "The test for edge case X is missing. Add it and re-run the suite."
Output Format
Report back to the user:
- Summary of what Claude implemented
- Files changed (list)
- Test results (pass/fail counts)
- Any items Claude flagged as deferred or uncertain
Notes
- Claude operates with full read/write access in the working directory by default
- If the task is sensitive or you want a dry-run first, use
claude-planskill before this one effort: highensures thorough implementation; lower effort may skip edge cases- Pass
maxBudgetUsdif you need to cap spend on large implementations
What ships with it
1 file 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.
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 First seen · 88 lines · 46 tokens per session scan A eaa398706dad
claude-implement is a skill published in the GitHub repository xiaolai/cc-suite (44 stars, last pushed yesterday), licensed ISC. It adds 46 tokens to every session and 711 once invoked, about $0.0002 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 2026-08-30.
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