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/openshift/lightspeed-agentic-operator/find-complexitynpx skills add openshift/lightspeed-agentic-operator --skill find-complexitygit clone --depth 1 https://github.com/openshift/lightspeed-agentic-operatorWhat 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 | $0.00046 | $0.00851 |
| Opus 5 | $0.00023 | $0.00426 |
| Sonnet 5 | $0.00009 | $0.00170 |
| Haiku 4.5 | $0.00005 | $0.00085 |
Grade A, and why
find-complexity scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Find Complexity Hotspots
Identify Go functions that are hard to review, test, and maintain.
Rules
- Report findings, do not refactor. Refactoring is a separate task.
- Focus on production code (
controller/,api/,cmd/,cli/). Skip tests unless explicitly asked. - Rank by severity: highest complexity first.
Step 1: Determine Scope
Ask the user:
- Branch mode: only files changed in the current branch vs main.
- Full mode: scan the entire codebase.
For branch mode:
git diff --name-only upstream/main -- 'controller/' 'api/' 'cmd/' 'cli/' | grep '\.go$' | grep -v '_test\.go$'
Step 2: Install Prerequisites
Install gocyclo and gocognit if not available:
go install github.com/fzipp/gocyclo/cmd/gocyclo@latest
go install github.com/uudashr/gocognit/cmd/gocognit@latest
Step 3: Cyclomatic Complexity
gocyclo -over 10 <target>
This shows functions with cyclomatic complexity over 10.
Thresholds: 1-10 (simple), 11-20 (moderate), 21-50 (complex), 51+ (untestable).
Step 4: Cognitive Complexity
Cognitive complexity weights nesting depth — a 5-deep if scores much higher than 5 sequential ifs.
gocognit -over 15 <target>
This shows functions with cognitive complexity over 15.
Step 5: Function Length
Find long functions (50+ lines of code, excluding comments and blank lines):
for file in $(find <target> -name '*.go' -not -name '*_test.go'); do
awk '/^func / {start=NR; func=$0}
/^}/ && start {
len=NR-start;
if(len>50) print FILENAME":"start": "func" ("len" lines)"
}' "$file"
done
Step 6: Parameter Count
Find functions with too many parameters (6+):
rg "^func.*\([^)]{60,}\)" <target> -A 0
Functions with 6+ parameters are candidates for parameter objects or config structs.
Step 7: File Size
Find large files (500+ lines):
wc -l $(find <target> -name '*.go' -not -name '*_test.go') | sort -rn | head -20
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 · 115 lines · 46 tokens per session scan A 6cdfab92c690
find-complexity is a skill published in the GitHub repository openshift/lightspeed-agentic-operator (10 stars, last pushed 2d ago), licensed Apache-2.0. It adds 46 tokens to every session and 851 once invoked, about $0.0002 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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