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 patrick-fu/awesome-skills --skill claude-code-coding-agentgit clone --depth 1 https://github.com/patrick-fu/awesome-skillsWrote 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/patrick-fu/awesome-skills/claude-code-coding-agent)<a href="https://agentmods.dev/skills/patrick-fu/awesome-skills/claude-code-coding-agent"><img src="https://agentmods.dev/badge/skills/patrick-fu/awesome-skills/claude-code-coding-agent/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.
<a href="https://agentmods.dev/skills/patrick-fu/awesome-skills/claude-code-coding-agent"><img src="https://agentmods.dev/badge/skills/patrick-fu/awesome-skills/claude-code-coding-agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00022 | $0.00474 |
| Opus 5.5 | $0.00009 | $0.00190 |
| Sonnet 5.5 | $0.00004 | $0.00095 |
| Haiku 4.5 | $0.00002 | $0.00047 |
Grade A, and why
claude-code-coding-agent scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- codex-coding-agent — 89% identical, 54 lines differ
How it starts
The opening of the file, as written. The whole thing — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Claude Code Coding Agent
Scope
Use the selected launcher's --version and --help to choose supported
model/effort settings. Keep wrappers opaque: their source and environment may
contain credentials. Honor explicit choices; compare requested settings with
the receipt's effective settings, leaving absent values unverified.
Fix the workspace, permitted actions, and acceptance evidence. Experiments and parallel writers need isolated workspaces. Boundary: before file-only work, strict confinement, or a wrapper/permission conflict, read Boundaries. Permission changes require authorization; the skill grants no extra scope.
Run
Use claude_run.py as the single print-task entry point:
python3 "$SKILL_DIR/scripts/claude_run.py" run \
--launcher "$LAUNCHER" --cwd "$WORKSPACE" --prompt-file "$PROMPT_FILE" \
--timeout-seconds 600 -- --model "$MODEL"
SKILL_DIR is this skill's directory. Choose the host deadline deliberately
(0 is unbounded); pass other authorized Claude options after --. Omit the
model override when the selected wrapper supplies it.
| Owner | Responsibility |
|---|---|
| Script | Scope/prompt validation, stdin, stream flags, unique captures, child exit, compact receipt |
| Agent | Model, permissions, required tool evidence, artifact acceptance, recovery |
Retain the host process handle. The script prints run_dir, then a final
receipt; use python3 "$SKILL_DIR/scripts/claude_run.py" inspect "$RUN_DIR"
for compact evidence while waiting. Quiet output alone is not failure.
Accept
COMPLETED means the process and stream completed, not that the task passed.
Read answer.txt; check required successful tool results, denied actions and
errors, then verify artifacts/diff against Scope. Report unperformed checks.
Recover: for failure, unfinalized evidence, cancellation or resume, read
Recovery before another attempt.
What ships with it
9 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.
- agents/openai.yaml 245 B
- evals/check_ablation.py 5.3 KB runs code
- evals/check_contract.py 1.5 KB runs code
- evals/check_run.py 23 KB runs code
- evals/evidence.json 4.2 KB
- evals/fixtures/read.jsonl 676 B
- evals/stub_claude.py 2.3 KB runs code
- references/monitoring.md 4.8 KB
- scripts/claude_run.py 14 KB runs code
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.
- 3d ago Changed · -32 lines · -7 tokens per session 6e04f1ad2f9b
- 15d ago Changed · -37 lines b7d35d473d38
- 27d ago Changed · +16 lines 0d8f81d1d9ad
- 1mo ago First seen · 104 lines · 29 tokens per session scan A f16463eb1edf
claude-code-coding-agent is a skill published in the GitHub repository patrick-fu/awesome-skills (69 stars, last pushed 4d ago), licensed MIT. It adds 22 tokens to every session and 474 once invoked, about $0.0001 per session on Opus 5.5. 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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