<skill-slug>
SkillAI & modelsOne-line description of what this fix does and why it matters.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the <skill-slug> skill
What this skill tells your AI
The instructions your AI receives, as published by onlyterp/prompt-cache-skills in skills/_TEMPLATE/SKILL.md and read by ahel’s review.
Target
Which harness, which file, which lines. Cite a permalink to the relevant code at the audit commit.
Symptom
What's broken in the user's current setup. Be concrete:
- Which API call is wrong
- What field is missing/wrong/volatile
- What
usagefield comes back zero or wrong
Fix
--- a/path/to/file.ts
+++ b/path/to/file.ts
@@
- old line
+ new line
If the fix is multi-step or conditional, list the steps.
Verify
After applying, the agent should:
- Run
<command>to exercise the code path. - Capture the wire (mitmproxy or harness debug log).
- Confirm
<specific assertion>— e.g.usage.cache_read_input_tokens > 0on the second turn.
If the assertion fails, the fix didn't land or there's a second upstream issue. Stop and report.
Background
Why this matters in 1-2 sentences. Link to:
- [docs/concepts/.md] for the API mechanics
- [docs/gotchas.md#N] for the underlying footgun
- [audits/.md] for the full audit
Signals
- GitHub stars
- 114
- Forks
- 9
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
skill-slug- Source
- github.com/onlyterp/prompt-cache-skills