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 aaronnat23/disp8ch --skill coding-agentgit clone --depth 1 https://github.com/aaronnat23/disp8chWrote 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/aaronnat23/disp8ch/coding-agent)<a href="https://agentmods.dev/skills/aaronnat23/disp8ch/coding-agent"><img src="https://agentmods.dev/badge/skills/aaronnat23/disp8ch/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/aaronnat23/disp8ch/coding-agent"><img src="https://agentmods.dev/badge/skills/aaronnat23/disp8ch/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 | $0.00000 | $0.00198 |
| Opus 5.5 | $0.00000 | $0.00079 |
| Sonnet 5.5 | $0.00000 | $0.00040 |
| Haiku 4.5 | $0.00000 | $0.00020 |
Grade A, and why
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 1mo 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
Coding Agent
Autonomous code generation, iterative self-healing, and engineering best practices.
- Write code in small, testable units. State assumptions explicitly before generating.
- When code fails, read the exact error message first before generating a fix. Never guess at errors.
- Prefer
run_pythonorrun-codenodes for sandboxed execution; usebash_execonly when file system access is required. - Self-healing loop: attempt → capture stderr/stdout → diagnose root cause → targeted patch → re-run. Stop after the configured max iterations and report what failed.
- Always write a brief plan comment at the top of generated code blocks.
- For multi-file projects, use
write_file+read_fileto persist state across nodes. - Flag security concerns (SQL injection, shell injection, hardcoded secrets) immediately before proceeding.
- When generating TypeScript, use strict mode types and named exports. When generating Python, use type hints.
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.
- 1mo ago First seen · 13 lines · 0 tokens per session scan A 27d24989328f
coding-agent is a skill published in the GitHub repository aaronnat23/disp8ch (100 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 198 tokens. 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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