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/jeffh/claude-plugins/implementnpx skills add jeffh/claude-plugins --skill implementgit clone --depth 1 https://github.com/jeffh/claude-pluginsWhat 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 | $0.00170 | $0.01352 |
| Opus 5 | $0.00085 | $0.00676 |
| Sonnet 5 | $0.00034 | $0.00270 |
| Haiku 4.5 | $0.00017 | $0.00135 |
Grade A, and why
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 2d 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 — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Codex Implement
Delegate an implementation task to a Codex subagent running GPT 5.6 Sol (or another GPT model the user names). The subagent will edit files in the current working directory.
Choosing the model
The -m flag selects the model. Default to gpt-5.6-sol, but honor any specific model the user asks for:
- Use
gpt-5.6-solunless the user names a different model. - If the user specifies a model — e.g. "run gpt-5.6-terra", "use gpt-5.5-codex", "with the
<name>model" — pass that exact string to-minstead. Don't validate or second-guess the name; Codex will error if it's unknown. - If they typed
/codex:implement --model <name> <task>(or-m <name>), strip that flag from the prompt and use<name>as the model.
Choosing the effort
Reasoning effort is set with -c model_reasoning_effort="<level>". Default to high, but honor any level the user asks for:
- Use
highunless the user names a different level. - If the user asks in prose — e.g. "low effort", "medium effort" — substitute that level.
- If they typed
/codex:implement --effort <level> <task>, strip that flag from the prompt and use<level>as the effort.
Everywhere below shows -m gpt-5.6-sol and high effort; substitute the chosen model and effort.
How to invoke
-
Take the user's prompt (either the
argspassed to this skill, or the surrounding request if they said "have Codex do X"). -
Run the Bash tool with:
codex exec \ -m gpt-5.6-sol \ -c model_reasoning_effort="high" \ -s workspace-write \ --skip-git-repo-check \ -C "$PWD" \ "<PROMPT>"-m gpt-5.6-sol— the model; defaultgpt-5.6-sol, or the model the user named (see Choosing the model).-c model_reasoning_effort="high"— reasoning effort; defaulthigh, or the level the user named (see Choosing the effort).-s workspace-write— Codex may write files under the workdir +$TMPDIR; this is the safe default.codex execruns non-interactively with approval modenever(there is no-a/--ask-for-approvalflag), so Codex cannot prompt to escalate — it simply stays within the sandbox. Only switch to--dangerously-bypass-approvals-and-sandboxif the user explicitly asks for autonomous, unsandboxed execution.-C "$PWD"— pin the workspace to Claude's current directory.--skip-git-repo-check— allow running outside a git repo. Drop this if the user's task is git-related.- Always set an explicit Bash
timeout. Implementation runs are slow and the Bash default (120000 ms / 2 min) will kill Codex mid-run. Passtimeout: 600000(10 min — the maximum the Bash tool allows) on everycodex execcall. - If the task is large enough that even 10 minutes may not be enough, run the Bash call with
run_in_background: trueinstead and poll its output rather than blocking — a foreground call cannot exceed the 600000 ms cap.
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.
- 2d ago First seen · 79 lines · 170 tokens per session scan A 07b0578d9d65
implement is a skill published in the GitHub repository jeffh/claude-plugins (12 stars, last pushed 17d ago), licensed Apache-2.0. It adds 170 tokens to every session and 1,352 once invoked, about $0.0009 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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