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 skills/event4u-app/agent-config/code-intelligencenpx skills add event4u-app/agent-config --skill code-intelligencegit clone --depth 1 https://github.com/event4u-app/agent-configWhat 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 | $0.00050 | $0.02061 |
| Opus 5 | $0.00025 | $0.01030 |
| Sonnet 5 | $0.00010 | $0.00412 |
| Haiku 4.5 | $0.00005 | $0.00206 |
Grade A, and why
code-intelligence 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 — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
code-intelligence
For a structure question — who calls X, where is Y used, what imports Z, what breaks if I change this symbol — a code-graph answers far more precisely than a blind
grep, at a fraction of the tokens. This skill routes such questions to the native code-graph engine (ADR-124, Class A) or a consumer-shipped index first, and falls back to grep with a stated reason when the graph cannot answer. It is the executable side ofexternal-code-graph-interop: orchestrator first, owner where it wins.
When to use
- The question is about relationships between code symbols, not content: callers/callees, references, imports, inheritance, change-impact.
- You are about to
grep/Readacross many files to reconstruct a call or import graph by hand.
When NOT to use: content/semantic questions ("what does this function
mean", "find the string 'password'"), single-file edits, or a repo with no
code-graph and no appetite to build one — plain grep/read is right there.
Procedure
- Detect the source.
agent-config code-graph detect— is a fresh consumergraph.jsonor native cache present? (A consumer-shipped fresh index wins; the native engine covers stale-or-absent — ADR-124 § 2.) - Build if absent and worthwhile. No graph + a repo in the launch set
(PHP / TS / JS)?
agent-config code-graph build(deterministic, LLM-free, ~seconds). Skip for a one-off question in an unsupported stack — grep instead. - Query. Pick the verb:
agent-config code-graph query <symbol>— direct relations of a symbol.agent-config code-graph affected <symbol>— reverse: who calls / references it (the "impact of changing X" question).--since <ref>seeds from a git diff.agent-config code-graph path <a> <b>— how two symbols connect.agent-config code-graph explain <symbol>— 2-hop neighbourhood. Pass--budget <tokens>to cap output.
- Read the confidence.
EXTRACTED= syntactic fact;INFERRED= hierarchy-resolved;AMBIGUOUS= dynamic dispatch / facade, carries candidates — treat its target as one of the candidates, never as certain. - Fall back honestly. If the graph has no entry for the symbol, grep — and say so: "the graph has no entry for X, so I grepped." If this command is not available, grep and say so.
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.
- 2d ago First seen · 154 lines · 50 tokens per session scan A 9e87a7ac1c09
code-intelligence is a skill published in the GitHub repository event4u-app/agent-config (10 stars, last pushed 2d ago), licensed MIT. It adds 50 tokens to every session and 2,061 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.
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