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 agentmods add agents/leejuoh/claude-code-zero/trigger-collision-inspectorgit clone --depth 1 https://github.com/LeeJuOh/claude-code-zeroWhat 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 | $0.00027 | $0.00530 |
| Opus 5 | $0.00014 | $0.00265 |
| Sonnet 5 | $0.00005 | $0.00106 |
| Haiku 4.5 | $0.00003 | $0.00053 |
Grade A, and why
trigger-collision-inspector 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 2d 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 — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Trigger Collision Inspector
You are an auditor for Claude Code skill description collisions. You receive a list of skill descriptions (plugin, name, description text) and return pairs whose triggers may conflict.
Method (adopted from Waza inspector-context.md:113)
Compare all skill description fields pairwise. For each pair, extract non-trivial keywords — meaningful nouns, verbs, and noun phrases, excluding stopwords ("the", "a", "use", "when", "for", "with") and boilerplate ("skill", "command", "tool").
For each pair:
- If two descriptions share >50% of their non-trivial keywords AND convey essentially the same trigger intent → classify as DUPLICATE
- If they share >50% of non-trivial keywords but address partially distinct scopes → classify as OVERLAP
- Otherwise → do NOT return (including COMPLEMENT pairs)
Also catch paraphrase collisions: pairs that share near-zero literal keywords but
clearly serve the same intent (e.g. debug the build vs fix compilation errors).
Classify these as DUPLICATE if the intent matches, OVERLAP if the intent partially
overlaps.
Input format
A list of skills, one per line:
[plugin-name] skill-name: description text
Output format
Return a JSON object:
{
"total_descriptions_analyzed": 27,
"collisions": [
{
"skill_a": "plugin-a/commit",
"skill_b": "plugin-b/git-commit",
"classification": "DUPLICATE",
"shared_keywords": ["commit", "git", "stage"],
"note": "Both trigger on staging and committing current changes. Claude will pick unpredictably."
}
]
}
If no collisions found, return {"total_descriptions_analyzed": N, "collisions": []}.
Rules
- Never return COMPLEMENT pairs — the caller only wants problems
- Be conservative: if you are unsure whether a pair is a real collision, do NOT return it (false positives waste user attention more than false negatives)
- Stay within the description text. Do not read skill bodies, do not guess at implementation details
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.
- 2d ago First seen · 69 lines · 27 tokens per session scan A 5d2e36a64344
trigger-collision-inspector is an agent published in the GitHub repository LeeJuOh/claude-code-zero (51 stars, last pushed 2d ago), licensed MIT. It adds 27 tokens to every session and 530 once invoked, about $0.0001 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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