Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add akasecurity/ai-tc/plugin install akaWrote 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/commands/akasecurity/ai-tc/findings)<a href="https://agentmods.dev/commands/akasecurity/ai-tc/findings"><img src="https://agentmods.dev/badge/commands/akasecurity/ai-tc/findings.svg" alt="Measured on agentmods" 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 | $0.00011 | $0.00247 |
| Opus 5 | $0.00005 | $0.00123 |
| Sonnet 5 | $0.00002 | $0.00049 |
| Haiku 4.5 | $0.00001 | $0.00025 |
Grade A, and why
findings scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
AKA findings
Run the read script and show the user its output exactly as printed. The script already prints its content inside a Markdown code fence — reproduce that verbatim and do not add another code fence, strip the fence, or reformat it. The fence is required: it is a space-aligned monospace table that Markdown would otherwise collapse. Do not reformat the columns or restate each row.
If the user asked to filter by severity — e.g. --critical, --high,
--medium, --low, or --severity <level> — pass that flag through to the
script unchanged. Otherwise run it with no flag.
node "${CLAUDE_PLUGIN_ROOT}/scripts/query.js" findings [--severity <critical|high|medium|low>]
This lists the most recent findings from ~/.aka/data/aka.db with their rule,
category, severity, action taken, and the masked match (raw secrets are
never stored), narrowed to one severity when a filter is given. It is read-only.
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.
- 8d ago First seen · 24 lines · 11 tokens per session scan A 7d481b43d61f
findings is a command published in the GitHub repository akasecurity/ai-tc (11 stars, last pushed today), licensed Apache-2.0. It adds 11 tokens to every session and 247 once invoked, about $0.0001 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.
Other commands, from other repositories
address
Address code review feedback — corroborate, validate, and implement changes from a review's final.md.
post
Post the current OCR review to a GitHub PR.
show
Display a past OCR review session.
fleet
Show the Fleet Deck board URL and a live summary of every Claude Code session on this machine.
optimise
Audit a tracked project's Claude Code, Claude Design, or Codex setup, fold in new lessons, then apply open improvements one at a time with approval. Takes a project name from projects/.
extract-lessons
Extract actionable agent-tooling lessons (Claude Code, Claude Design, Codex) from transcripts. Newer lessons supersede older contradicting ones.