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.
git clone --depth 1 https://github.com/ViryaZheng/recomby-geoWrote 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/viryazheng/recomby-geo/07-reaudit)<a href="https://agentmods.dev/commands/viryazheng/recomby-geo/07-reaudit"><img src="https://agentmods.dev/badge/commands/viryazheng/recomby-geo/07-reaudit/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/commands/viryazheng/recomby-geo/07-reaudit"><img src="https://agentmods.dev/badge/commands/viryazheng/recomby-geo/07-reaudit.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 | $0.00070 | $0.02250 |
| Opus 5 | $0.00035 | $0.01125 |
| Sonnet 5 | $0.00014 | $0.00450 |
| Haiku 4.5 | $0.00007 | $0.00225 |
Grade A, and why
07-reaudit 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 11d 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 — 224 lines — stays where its author put it; the contents beside it link to each section on GitHub.
07 · Re-audit & Attribution
Closes the loop. Without this command, the pipeline is open-loop — actions go out, no proof they did anything. With this command, every action gets graded: did it move queries, which queries, by how much, with what confidence.
Inputs
clients/<slug>/visibility_baseline.json(current — about to be replaced)clients/<slug>/baselines/round-<N-1>.json(previous round)clients/<slug>/distribution/log.jsonl(every action since previous round)
Output
clients/<slug>/reaudit/round-<N>.json— validates againstschemas/attribution_diff.schema.json.clients/<slug>/reaudit/round-<N>.report.md— human-readable monthly review.- (side effect)
clients/<slug>/baselines/round-<N>.json— new baseline preserved. - (side effect) Updates
clients/<slug>/visibility_baseline.jsonto the new round.
Procedure
Step 1 — Snapshot previous baseline
Before re-running audit, copy current visibility_baseline.json to
baselines/round-<N-1>.json if not already there. Idempotent.
Step 2 — Invoke 02-audit
Call 02-audit with meta.audit_round = N. Use the SAME target_queries
list as the previous round (do not silently drop or add queries — that
breaks the diff). If brand_context.target_queries has changed, log the
delta but keep the audit on the union for one round; signal to user that
next round will adopt the new list.
After 02-audit completes, the new baseline is at
clients/<slug>/visibility_baseline.json.
Step 3 — Load both rounds + the action log
PREV=clients/<slug>/baselines/round-<N-1>.json
CURR=clients/<slug>/visibility_baseline.json
LOG=clients/<slug>/distribution/log.jsonl
Filter log entries to those with shipped_at between PREV.captured_at
and CURR.captured_at. These are the actions in this round's window.
Step 4 — Per-query diff
For each query in PREV.summary.per_query:
- Look up matching query in CURR.summary.per_query (by query_id, fall
back to query string). Keep the query text byte-identical across
rounds —
query_idis derived from the query string (02-audit Step 1), so any edit (even punctuation) mints a new id and silently drops the query from the diff. To revise a tracked query, retire the old one and add the new under a fresh id rather than editing in place. - Compute delta: mention_rate_delta, position_delta.
- Determine verdict_change:
improved— mention_rate up by ≥10pp OR position improved by ≥1.regressed— mention_rate down by ≥10pp OR position worse by ≥1.newly-won— was 0 mention_rate, now > 0.3.newly-lost— was > 0.3 mention_rate, now 0.stable— within ±10pp and ±1 position.
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.
- 11d ago First seen · 224 lines · 70 tokens per session scan A c346876766ff
07-reaudit is a command published in the GitHub repository ViryaZheng/recomby-geo (454 stars, last pushed 2mo ago), licensed MIT. It adds 70 tokens to every session and 2,250 once invoked, about $0.0003 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 2026-08-30.
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check
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registry
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onboard
/anty:onboard — QUEST-Based Conversational Interview.
review
/anty:review — 5-Question Review Engine.
scan
/anty:scan — Analysis Cycle (10-Point).