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 avibebuilder/claude-prime --skill fixgit clone --depth 1 https://github.com/avibebuilder/claude-primeWrote 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/avibebuilder/claude-prime/fix)<a href="https://agentmods.dev/skills/avibebuilder/claude-prime/fix"><img src="https://agentmods.dev/badge/skills/avibebuilder/claude-prime/fix/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/avibebuilder/claude-prime/fix"><img src="https://agentmods.dev/badge/skills/avibebuilder/claude-prime/fix.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 | $0.00148 | $0.00841 |
| Opus 5.5 | $0.00059 | $0.00336 |
| Sonnet 5.5 | $0.00030 | $0.00168 |
| Haiku 4.5 | $0.00015 | $0.00084 |
Grade A, and why
fix 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.
How it starts
The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Think harder. Remove the cause with the change that genuinely restores the intended behavior. Making the symptom disappear without explaining the evidence is not a fix.
Process
Check conversation context and skip completed steps.
1. Read the bug, then choose the lane
Read the symptom, expected behavior, errors, logs, failing tests, and any prior diagnosis. Separate confirmed facts from guesses. Then route:
| Situation | Action |
|---|---|
| Clear root cause or one strongly evidenced failing area | Stay in /fix |
| One narrow check would remove the last uncertainty | Do that check inside /fix, then commit to a lane |
| Multiple plausible causes, unclear failing area, or needs runtime instrumentation | Switch to /diagnose first |
| Bug is understood but multiple defensible fixes with real tradeoffs | Switch to /discuss |
If you're about to add a speculative guard or workaround because the cause is still fuzzy, you're in the wrong lane. If evidence is insufficient, switch to /diagnose instead of guessing.
GATE: If a plan was requested or produced, wait for user approval before implementation.
1.5 Reboot after repeated misses
After 3 substantive fix attempts that haven't resolved the bug, stop thrashing. Write a handoff note covering: bug context, confirmed evidence, files checked, each failed approach and why it failed, open questions, and most likely next diagnostic branch. Start a fresh Claude session with the handoff note (or give it to the user to paste). Repeated failures signal contaminated context or narrowed reasoning — a clean window gets fresh judgment. Let stop and enjoy the world, you just did the best thing bro!
2. Repair the cause
- Apply the smallest change that removes the root cause
- Correct the bad state transition, condition, query, or data flow rather than masking the symptom at the crash site
- Call-stack upstream rule: when a function crashes on bad data (
undefined,null, wrong type), trace back to where that data was produced or passed. Fix the producer or caller, not the victim. Example:applyDiscount(cart, coupon)crashes becausecouponisundefined→ fix the lookup or call site that passed bad data, notapplyDiscount - Follow existing code patterns and keep scope tight
- Keep temporary instrumentation that helps prove the repair until verification is complete, then remove it
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 · 58 lines · 148 tokens per session scan A dd3ac130b4a6
fix is a skill published in the GitHub repository avibebuilder/claude-prime (120 stars, last pushed 5mo ago), licensed MIT. It adds 148 tokens to every session and 841 once invoked, about $0.0006 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.
Other skills, from other repositories
audit
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investigate
Find the root cause of Elixir/Phoenix bugs — crashes, exceptions, stack traces, compile errors, LiveView that won't update, silent failures. Use when something is broken or misbehaves. --parallel for 4 tracks.
narrow-bare-rescue
Narrow bare rescue in Elixir so real errors like KeyError and typos propagate instead of being swallowed. Use to audit rescues and refactor error handling.
tidewave-integration
Tidewave MCP runtime tools — debugging, smoke testing, live state inspection, SQL queries, hex docs. Use when evaluating code in a running Phoenix app.
verify
Verify Elixir/Phoenix changes — compile, format, and test in one loop. Use after implementation, before PRs, or after fixing bugs.
perf
Use when anything in a Phoenix app is slow, times out, or uses too much memory, even if the cause looks obvious. Load it before analyzing or fixing: it runs measured Ecto, LiveView and OTP checks and ranks fixes.