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 skills add tornikegomareli/claude-plugin-codex --skill claude-promptinggit clone --depth 1 https://github.com/tornikegomareli/claude-plugin-codexWrote 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/tornikegomareli/claude-plugin-codex/claude-prompting)<a href="https://agentmods.dev/skills/tornikegomareli/claude-plugin-codex/claude-prompting"><img src="https://agentmods.dev/badge/skills/tornikegomareli/claude-plugin-codex/claude-prompting.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 5.1 | $0.00031 | $0.00649 |
| Opus 5 | $0.00015 | $0.00324 |
| Sonnet 5 | $0.00006 | $0.00130 |
| Haiku 4.5 | $0.00003 | $0.00065 |
Grade A, and why
claude-prompting 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 8d 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.
What it actually says
Claude Prompting
Use this skill when the claude-rescue flow needs to hand a task to Claude Code.
Prompt Claude like an operator, not a collaborator. Keep prompts compact and block-structured with XML tags. State the task, the output contract, the follow-through defaults, and the small set of extra constraints that matter.
Core rules:
- Prefer one clear task per Claude run. Split unrelated asks into separate runs.
- Tell Claude what done looks like. Do not assume it will infer the desired end state.
- Add explicit grounding and verification rules for any task where unsupported guesses would hurt quality.
- Claude explores the repository itself; describe the goal and constraints, not a file-by-file tour.
- Use XML tags consistently so the prompt has stable internal structure.
Default prompt recipe:
<task>: the concrete job and the relevant failure or feature context.<output_contract>: exact shape, ordering, and brevity requirements for the final answer.<default_follow_through_policy>: what Claude should do by default instead of asking routine questions (headless runs cannot ask).<verification_loop>: required for debugging, implementation, or risky fixes — name the commands Claude should run to prove the change works.<grounding_rules>: required for review, research, or anything that could drift into unsupported claims.
When to add blocks:
- Coding or debugging: add
verification_loopand a completeness requirement ("fix every call site, not just the reported one"). - Review-like asks: use the dedicated
review/adversarial-reviewsubcommands instead; their prompts already carry the review contract. - Planning: use the
plansubcommand; implementation: useimplement. - Write-capable tasks: add an
action_safetyblock so Claude stays narrow and avoids unrelated refactors.
How to choose prompt shape:
- Use
task --resume-lastfor follow-up instructions on the same Claude session. Send only the delta instruction instead of restating the whole prompt unless the direction changed materially. - Remember headless constraints: Claude cannot ask clarifying questions mid-run. Resolve ambiguity in the prompt or tell Claude which assumption to make.
Prompt assembly checklist:
- Define the exact task and scope in
<task>. - Choose the smallest output contract that still makes the answer easy to use.
- Decide what Claude should do when it hits a missing detail: proceed with a stated assumption, or stop and report.
- Add verification, grounding, and safety tags only where the task needs them.
- Remove redundant instructions before sending the prompt.
Reusable blocks live in references/prompt-blocks.md. Concrete end-to-end templates live in references/claude-prompt-recipes.md. Common failure modes to avoid live in references/claude-prompt-antipatterns.md.
What ships with it
3 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.
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.
- 8d ago First seen · 46 lines · 31 tokens per session scan A 22ff6138af3a
claude-prompting is a skill published in the GitHub repository tornikegomareli/claude-plugin-codex (9 stars, last pushed 2mo ago), licensed MIT. It adds 31 tokens to every session and 649 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 2026-08-31.
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