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/chucklever/cel-kdev/trace-cmdnpx skills add chucklever/cel-kdev --skill trace-cmdgit clone --depth 1 https://github.com/chucklever/cel-kdevWhat 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 | $0.00082 | $0.03150 |
| Opus 5 | $0.00041 | $0.01575 |
| Sonnet 5 | $0.00016 | $0.00630 |
| Haiku 4.5 | $0.00008 | $0.00315 |
Grade A, and why
trace-cmd 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 yesterday.
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 — 367 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Trace analysis
Analyze kernel trace captures to support the patch-measure-analyze development cycle. Operate on trace-cmd .dat files or pre-generated report output.
When the user provides a trace file path, begin analysis immediately. If no specific question is asked, produce a general summary first, then offer deeper analysis.
trace-cmd .dat files are binary captures and trace-cmd report output streams through pipelines rather than
landing in a normal text file. awk, grep, head,
and similar shell tools are the correct way to extract
fields and summaries from this data; any general preference
for dedicated file-reading tools does not apply here.
CRITICAL: trace-cmd argument order
The input file MUST be specified with -i BEFORE any
filter flags. Positional file arguments after -F are
misinterpreted as filter files.
Correct: trace-cmd report -i /tmp/trace.dat -F 'event_name'
Wrong: trace-cmd report /tmp/trace.dat -F 'event_name'
Wrong: trace-cmd report -F 'event_name' /tmp/trace.dat
Output format
Each event line follows this layout:
TASK-PID [CPU] FLAGS TIMESTAMP: EVENT: field=val ...
The TASK-PID column has variable-width leading whitespace and
may contain slashes. Positional field numbers ($1, $4)
are unreliable. Match patterns instead:
# Extract timestamp
awk '{match($0, /[0-9]+\.[0-9]+:/); ts=substr($0,RSTART,RLENGTH-1)+0}'
# Extract process name (strip trailing PID)
awk '{gsub(/^[ \t]+/,""); sub(/-[0-9]+.*$/,""); print}'
Pipeline reliability
trace-cmd report writes a multi-line header to stderr. Some builds intermix event lines on stderr. Two rules:
- Always use
2>&1when piping report output, then filter out non-event lines with grep for the event name. - Save filtered output to a temp file before running multi-stage extraction pipelines.
# Save each event type to its own file early
for ev in svc_stats_latency svc_xprt_dequeue svc_xprt_enqueue; do
trace-cmd report -i <file> -F "$ev" 2>&1 | \
grep "$ev" > /tmp/${ev}.txt
done
What ships with it
16 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.
- agents/openai.yaml 186 B
- references/dynamic-events.md 2.6 KB
- references/field-extraction.md 2.7 KB
- references/histogram-triggers.md 1.6 KB
- references/report-options.md 4.9 KB
- references/snapshot-capture.md 2.4 KB
- references/subsystems/handshake.md 626 B
- references/subsystems/nfsd.md 1.1 KB
- references/subsystems/rpcgss.md 752 B
- references/subsystems/sched.md 317 B
- references/subsystems/sunrpc.md 610 B
- references/subsystems/svcrdma.md 680 B
- references/subsystems/tcp.md 413 B
- references/subsystems/trace-printk.md 1.4 KB
- references/subsystems/workqueue.md 575 B
- references/subsystems/xprtrdma.md 873 B
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.
- yesterday First seen · 367 lines · 82 tokens per session scan A 26dcf44caabe
trace-cmd is a skill published in the GitHub repository chucklever/cel-kdev (2 stars, last pushed 4d ago), licensed MIT. It adds 82 tokens to every session and 3,150 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 2026-08-31.
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