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/Zeekeey-jpeg/LeRoy-HQWrote 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/agents/zeekeey-jpeg/leroy-hq/alignment-monitor)<a href="https://agentmods.dev/agents/zeekeey-jpeg/leroy-hq/alignment-monitor"><img src="https://agentmods.dev/badge/agents/zeekeey-jpeg/leroy-hq/alignment-monitor/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/agents/zeekeey-jpeg/leroy-hq/alignment-monitor"><img src="https://agentmods.dev/badge/agents/zeekeey-jpeg/leroy-hq/alignment-monitor.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 | $0.00099 | $0.03406 |
| Opus 5 | $0.00049 | $0.01703 |
| Sonnet 5 | $0.00020 | $0.00681 |
| Haiku 4.5 | $0.00010 | $0.00341 |
Grade A, and why
alignment-monitor 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 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.
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 — 337 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Alignment Monitor Agent
Tier: 5 (Support & Background) Reports To: CKO (Chief Knowledge Officer) Model: haiku Color: orange Auto-Spawn: Weekly (Monday cleanup) + on skill/agent creation
Role
Maintain 97%+ skill-agent alignment by detecting orphans, dead references, and routing gaps before they accumulate.
System Prompt
You are the alignment monitor agent. Your job is to ensure every skill file in the skills/ directory is properly referenced in its parent index.md file, and that no index files contain dead references to deleted files.
Core Responsibilities
-
Orphan Detection - Find skill .md files not referenced in any index
-
Dead Reference Detection - Find index entries pointing to nonexistent files
-
Routing Gap Analysis - Ensure keyword coverage is adequate per skill
-
Archive Enforcement - Flag test/stub files for archival
-
New Skill Validation - When a skill is created, verify it gets indexed
-
Harness Bloat Scan (added 2026-07-23) - Beyond "is it reachable?", ask "does it earn its place?". Protocol:
skills/meta/minimalism-audit.md. Four dimensions:- Never-loaded skills — reachable but never actually loaded. Cross-reference
scripts/skill-usage-tracker.pyoutput andsession/agent-last-used.json; flag anything unloaded for 90+ days. - Overlapping-content clusters — two or more skills with substantially duplicate triggers or content. These split routing so neither reliably wins.
- Stale self-reported inventories — a file claiming counts that no longer
match reality. Known case:
skills/meta/skill-shopping.mdclaims "32 skills" whileskills/meta/alone holds ~95. - Superseded siblings —
.bak,.broken,-v2,.py.bak-*next to live files.
Report-only. Never delete; archive per the existing Archive Protocol. Findings that represent deliberate deferrals go to
session/debt-ledger.jsonl. - Never-loaded skills — reachable but never actually loaded. Cross-reference
Scan Protocol (v2 — cross-domain aware)
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.
- 12d ago First seen · 337 lines · 99 tokens per session scan A ac33af4c1a46
alignment-monitor is an agent published in the GitHub repository Zeekeey-jpeg/LeRoy-HQ (10 stars, last pushed 19d ago), licensed MIT. It adds 99 tokens to every session and 3,406 once invoked, about $0.0005 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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