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 skills add cintia09/CodeNook --skill dispatch-auditgit clone --depth 1 https://github.com/cintia09/CodeNookWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/cintia09/codenook/dispatch-audit)<a href="https://agentmods.dev/skills/cintia09/codenook/dispatch-audit"><img src="https://agentmods.dev/badge/skills/cintia09/codenook/dispatch-audit/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/cintia09/codenook/dispatch-audit"><img src="https://agentmods.dev/badge/skills/cintia09/codenook/dispatch-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.00562 |
| Opus 5.5 | $0.00000 | $0.00225 |
| Sonnet 5.5 | $0.00000 | $0.00112 |
| Haiku 4.5 | $0.00000 | $0.00056 |
Grade A, and why
dispatch-audit scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
dispatch-audit (builtin skill)
Role
Redacted append-only logger for sub-agent dispatches. Every time the main session (or orchestrator-tick) dispatches a helper/worker agent, it calls this skill to log a one-line audit record AND enforce the 500-byte payload hard limit (architecture §3.1.7 / v6 decision #T-3). The limit is measured in UTF-8 bytes (CJK-safe).
CLI
emit.sh --role <name> --payload <json-string> [--workspace <dir>]
--rolee.g.planner,coder,reviewer— the downstream role.--payloadraw JSON string; must parse and be ≤ 500 bytes (UTF-8) total.--workspacedefaults to$CODENOOK_WORKSPACE; if unset, upward search for a directory containing.codenook/.
Exit codes
| code | meaning |
|---|---|
| 0 | logged |
| 1 | payload > 500 bytes, or not valid JSON |
| 2 | usage error / workspace not resolvable |
Log line shape
Appended to <ws>/.codenook/history/dispatch.jsonl:
{
"ts": "2026-04-18T12:34:56Z",
"role": "planner",
"payload_size": 187,
"payload_sha256": "…",
"payload_preview": "… first 80 chars …"
}
Note: full payload is never written — only sha256 + an 80-char preview. Privacy by construction.
Redaction
Before the 80-char preview is sliced, the payload is run through a
best-effort secret scrubber that masks common high-confidence patterns
(OpenAI sk- / sk-proj-, Anthropic sk-ant- / sk-ant-api03-, AWS
AKIA…, GitHub ghp_ / gho_ / github_pat_, and PEM private-key
headers) with the literal string [REDACTED]. This is best-effort
defence-in-depth, not a substitute for keeping secrets out of payloads
(callers SHOULD pass ${env:NAME} placeholders, not resolved values).
M1 notes
- Single-line append; no explicit flock (line sizes are far below
PIPE_BUFso concurrentwrite()calls stay line-atomic on POSIX). .codenook/history/auto-created when missing.
What ships with it
2 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.
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.
- 2mo ago First seen · 62 lines · 0 tokens per session scan A 9c7e806a63c0
dispatch-audit is a skill published in the GitHub repository cintia09/CodeNook (5 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 562 tokens. 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.
dispatch-audit compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| dispatch-auditcintia09/CodeNook | Skill | 5 | 1mo ago | MIT | A | 0 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 2d ago | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | 2d ago | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 315k | 5d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |