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 jchildree/Claud-itect-Skill --skill diagnosegit clone --depth 1 https://github.com/jchildree/Claud-itect-SkillWrote 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/jchildree/claud-itect-skill/diagnose)<a href="https://agentmods.dev/skills/jchildree/claud-itect-skill/diagnose"><img src="https://agentmods.dev/badge/skills/jchildree/claud-itect-skill/diagnose/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/jchildree/claud-itect-skill/diagnose"><img src="https://agentmods.dev/badge/skills/jchildree/claud-itect-skill/diagnose.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00066 | $0.01754 |
| Opus 5 | $0.00033 | $0.00877 |
| Sonnet 5 | $0.00013 | $0.00351 |
| Haiku 4.5 | $0.00007 | $0.00175 |
Grade A, and why
diagnose 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 10d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 10d ago First seen · 136 lines · 66 tokens per session scan A ad1c11db73b9
diagnose is a skill published in the GitHub repository jchildree/Claud-itect-Skill (3 stars, last pushed 2mo ago), with no licence file. It adds 66 tokens to every session and 1,754 once invoked, about $0.0003 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.
Other skills, from other repositories
ce-debug
Diagnosis loop for bugs and failing behavior. Use when asked to debug or fix failing or slow behavior.
ce-sweep
Sweep configured feedback sources (Slack, GitHub Issues; email experimental) for new items: acknowledge at source, analyze recordings, verify fixes merged to main, and emit an lfg-ready plan. First run sets up sources; supports mode:non-interactive for scheduled runs.
ce-riffrec-feedback-analysis
Analyze recorded product feedback into evidence for bugs and requirements. Use when a Riffrec capture or other screen, voice, or notes artifact needs interpretation. Use for Riffrec setup, capture, or sharing help when no recording exists yet.
openprd-experience-diagnostic-candidate-eval-20260606230321
A draft project-learning guide for turning recurring debugging evidence into reusable development knowledge. It focuses on agent, hook, harness, quality, and growth workflow changes.
openprd-experience-diagnostic-candidate-eval-20260606232925
A draft project skill for turning diagnostic evidence into reusable engineering knowledge. It covers when to record recurring problems, clues, and fixes from agent, hook, or testing workflows.
openprd-experience-diagnostic-candidate-eval-20260706202136
Use when the current task overlaps this draft project experience and you should verify fit before reusing it.