Borrowing it
Nothing to install: this file belongs to omarshahine/HomeClaw. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/omarshahine/HomeClaw/main/.claude/skills/ios-memgraph-leaks/SKILL.mdgit clone --depth 1 https://github.com/omarshahine/HomeClawWrote 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/omarshahine/homeclaw/ios-memgraph-leaks)<a href="https://agentmods.dev/skills/omarshahine/homeclaw/ios-memgraph-leaks"><img src="https://agentmods.dev/badge/skills/omarshahine/homeclaw/ios-memgraph-leaks/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/omarshahine/homeclaw/ios-memgraph-leaks"><img src="https://agentmods.dev/badge/skills/omarshahine/homeclaw/ios-memgraph-leaks.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 | $0.00073 | $0.00936 |
| Opus 5 | $0.00036 | $0.00468 |
| Sonnet 5 | $0.00015 | $0.00187 |
| Haiku 4.5 | $0.00007 | $0.00094 |
Grade A, and why
ios-memgraph-leaks 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 11d 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:
- ios-memgraph-leaks — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
iOS Memgraph Leaks
Use this skill to prove iOS leaks from a live simulator process or an existing .memgraph. Pair it with ../ios-debugger-agent/SKILL.md when the task also needs simulator build, install, launch, UI driving, logs, or screenshots.
Core Workflow
- Build, launch, and drive the exact flow that should release objects.
- Capture a memgraph from the running simulator process with
scripts/capture_sim_memgraph.sh. - Summarize leaks with
scripts/summarize_memgraph_leaks.py. - For each app-owned leaked type, inspect ownership with
leaks --traceTree=<address> <file.memgraph>and grouped leak evidence. - Make the smallest root-cause patch, then recapture the same flow on the same simulator when possible.
- Report proof: before/after leak counts, disappeared root types, remaining leaks, memgraph paths, and test/build results.
Do not claim a leak fix from a smaller memgraph alone. A credible fix explains the ownership path that kept the object alive and shows that the same path or type disappears after the patch.
Capture
Prefer capturing from the simulator already used for the reproduction. Resolve the simulator UDID and app bundle identifier, then capture the running app:
SKILL_DIR="<absolute path to this loaded skill folder>"
SIM="<simulator-udid>"
BUNDLE_ID="<app.bundle.identifier>"
MEMGRAPH_DIR="$(mktemp -d "${TMPDIR:-/tmp}/codex-ios-memgraph.XXXXXX")"
"$SKILL_DIR/scripts/capture_sim_memgraph.sh" \
--udid "$SIM" \
--bundle-id "$BUNDLE_ID" \
--out-dir "$MEMGRAPH_DIR"
Do not derive SKILL_DIR from the target app repo's pwd; installed plugins usually live outside the app being debugged. Store captures in a run-specific temp or user-chosen folder, not under SKILL_DIR.
If the process cannot be found, confirm the bundle identifier and use xcrun simctl spawn "$SIM" launchctl list to inspect running labels.
Summarize
Summarize an existing memgraph:
"$SKILL_DIR/scripts/summarize_memgraph_leaks.py" \
/path/to/app.memgraph \
--trace-limit 5 \
--out /path/to/leak-summary.md
What ships with it
3 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.
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.
- 11d ago First seen · 77 lines · 73 tokens per session scan A edeb7df7a15c
ios-memgraph-leaks is a skill published in the GitHub repository omarshahine/HomeClaw (167 stars, last pushed 4d ago), licensed MIT. It adds 73 tokens to every session and 936 once invoked, about $0.0004 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 2026-08-30.
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