investigating-kilroy-runs

investigating-kilroy-runs is a skill for Codex from danshapiro/kilroy. It costs 114 tokens per session (3,267 once invoked), scanned A, original, MIT.

A troubleshooting guide for Kilroy Attractor runs, which are executions of an agent workflow. It examines saved run files, logs, checkpoints, and model routing to find what happened.

In plain words
What is it for?
Use it to locate a run, inspect its progress and saved results, check its CXDB connection, identify the model or provider used, and isolate failure causes.
Why use it?
It helps distinguish an active run from one that is stuck or failed, without relying only on a vague error message.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: positional $N argument.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is ./scripts/start-cxdb.sh.

Good fit Use it to locate a run, inspect its progress and saved results, check its CXDB connection, identify the model or provider used, and isolate failure causes.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/danshapiro/kilroy
agentmods
npx agentmods add skills/danshapiro/kilroy/investigating-kilroy-runs

Made for: Codex.

Wrote this? Show the measurements

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README.md
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Per session 114 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,267 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00114 $0.03267
Opus 5 $0.00057 $0.01633
Sonnet 5 $0.00023 $0.00653
Haiku 4.5 $0.00011 $0.00327

Measured 12d ago against content hash a8d14848303f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

investigating-kilroy-runs scanned grade A with 1 finding 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 12d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -fsS "$CXDB_URL/health" || curl -fsS "$CXDB_URL/healthz"
skills/investigating-kilroy-runs/SKILL.md · 331 lines

How it starts

The opening of the file, as written. The whole thing — 331 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Investigating Kilroy Runs

To inspect a run quickly and produce a precise diagnosis, follow this workflow.

Resolve Run Root

  1. To resolve run root with highest confidence, start from an explicit --logs-root path when provided.
  2. To infer run root when no path is provided, locate the newest run under ~/.local/state/kilroy/attractor/runs.
  3. To keep later commands consistent, treat that directory as RUN_ROOT.
RUNS="$HOME/.local/state/kilroy/attractor/runs"
RUN_ID="$(find "$RUNS" -mindepth 1 -maxdepth 1 -type d -printf '%T@ %f\n' | sort -nr | awk 'NR==1 {id=$2} END {print id}')"
RUN_ROOT="$RUNS/$RUN_ID"
echo "$RUN_ID"

For a quick check of the newest run without manually resolving RUN_ROOT, use:

./kilroy attractor status --latest --json

CXDB: Launch, UI, and Query

To get CXDB connection details, start with manifest.json, then fall back to run_config.json and live artifacts when fields are missing:

CXDB_URL="$(jq -r '.cxdb.http_base_url // empty' "$RUN_ROOT/manifest.json")"
CONTEXT_ID="$(jq -r '.cxdb.context_id // empty' "$RUN_ROOT/manifest.json")"

if [ -z "$CXDB_URL" ] && [ -f "$RUN_ROOT/run_config.json" ]; then
  CXDB_URL="$(jq -r '.cxdb.http_base_url // empty' "$RUN_ROOT/run_config.json")"
fi
if [ -z "$CONTEXT_ID" ] && [ -f "$RUN_ROOT/live.json" ]; then
  CONTEXT_ID="$(jq -r '.context_id // empty' "$RUN_ROOT/live.json")"
fi
if [ -z "$CONTEXT_ID" ] && [ -f "$RUN_ROOT/checkpoint.json" ]; then
  CONTEXT_ID="$(jq -r '.context_id // empty' "$RUN_ROOT/checkpoint.json")"
fi

echo "cxdb_url=$CXDB_URL context_id=$CONTEXT_ID"

To make sure CXDB is available and to print the UI endpoint, run:

./scripts/start-cxdb.sh
UI_LINE="$(./scripts/start-cxdb-ui.sh)"
echo "$UI_LINE"   # prints: cxdb_ui=http://...
CXDB_UI="${UI_LINE#cxdb_ui=}"

Use the endpoint printed by start-cxdb-ui.sh (cxdb_ui=...) as the source of truth. To open the UI in a browser when needed, run:

KILROY_CXDB_OPEN_UI=1 ./scripts/start-cxdb-ui.sh

Read the full file on GitHub · 331 lines

Files

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.

Changes

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.

  1. 12d ago First seen · 331 lines · 114 tokens per session scan A a8d14848303f

Subscribe to this mod's changes

investigating-kilroy-runs is a skill published in the GitHub repository danshapiro/kilroy (219 stars, last pushed 4mo ago), licensed MIT. It adds 114 tokens to every session and 3,267 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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