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 annyeong844/lumin-repo-lens/plugin install lumin-repo-lensWrote 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/annyeong844/lumin-repo-lens/lumin-repo-lens-canon)<a href="https://agentmods.dev/skills/annyeong844/lumin-repo-lens/lumin-repo-lens-canon"><img src="https://agentmods.dev/badge/skills/annyeong844/lumin-repo-lens/lumin-repo-lens-canon/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/annyeong844/lumin-repo-lens/lumin-repo-lens-canon"><img src="https://agentmods.dev/badge/skills/annyeong844/lumin-repo-lens/lumin-repo-lens-canon.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 | $0.00053 | $0.00813 |
| Opus 5 | $0.00026 | $0.00407 |
| Sonnet 5 | $0.00011 | $0.00163 |
| Haiku 4.5 | $0.00005 | $0.00081 |
Grade A, and why
lumin-repo-lens-canon 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 — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lumin Repo Lens Canon
This is the maintainer-facing canonical fact surface for lumin-repo-lens.
It owns canon-draft and check-canon together because draft output is
reviewed, promoted, and later checked for drift as one lifecycle.
Default voice is concise and factual. This surface may use colder
terminology than the audit surface, but every claim still needs machine
evidence and scan range.
Do not use casual hedging. If evidence is missing or degraded, emit
unknown or a degraded status directly with the scan range.
Core Contract
NO STRUCTURAL CLAIM WITHOUT MACHINE EVIDENCE
NO ABSENCE CLAIM WITHOUT STATED SCAN RANGE
Shared Engine
The shared engine lives in the sibling audit skill:
node ${CLAUDE_PLUGIN_ROOT}/skills/lumin-repo-lens/scripts/audit-repo.mjs
In a maintainer checkout, the equivalent command is:
node audit-repo.mjs
Slash commands still read <SKILL_ROOT>/references/command-routing.md from the
shared audit skill for exact flag routing.
Below, <SKILL_ROOT> means
${CLAUDE_PLUGIN_ROOT}/skills/lumin-repo-lens in plugin
installs, or the repo root in a maintainer checkout.
Below, <audit-repo> means whichever of the two commands above applies
to the current context.
This surface owns /lumin-repo-lens:canon-draft and
/lumin-repo-lens:check-canon.
References To Load
- Read
<SKILL_ROOT>/references/command-routing.mdfirst for slash-command routing. - Read
<SKILL_ROOT>/references/lifecycle-modes.mdwhen exact flags, exit codes, or artifact names matter. - Read
<SKILL_ROOT>/canonical/canon-drift.mdfor drift categories, parser contract, per-source Markdown reports, andcanon-drift.jsonshape. - Read
<SKILL_ROOT>/canonical/fact-model.md,<SKILL_ROOT>/canonical/identity-and-alias.md, and<SKILL_ROOT>/canonical/classification-gates.mdwhen a drift category, identity, or label set is ambiguous.
Canon Draft
Use when current artifacts should propose canonical facts for review:
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.
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 · 104 lines · 53 tokens per session scan A f6a896993ecb
lumin-repo-lens-canon is a skill published in the GitHub repository annyeong844/lumin-repo-lens (26 stars, last pushed 2mo ago), licensed MIT. It adds 53 tokens to every session and 813 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.
Other skills, from other repositories
ask-codex
Consult OpenAI Codex for investigation, debugging, or code review. Use when user explicitly asks to "ask codex", "check with codex", "codex review", or as a last resort when stuck after 4+ failed attempts at debugging, investigation, or bug fix and completely out of ideas. Codex is slow (2-5 min), so only escalate…
root-cause-investigator
Systematic root cause analysis for errors, bugs, and unexpected behaviors using 5-Why methodology. Use when user reports errors, build failures, test failures, performance issues, integration problems, or any "it's not working" scenarios.
diagnose-hard-bug
Hard-bug diagnosis: tight loop, ranked hypotheses.
codex-model-guard
Install, inspect, update or remove native Model Guard for Codex CLI. Use for its status line, model-routing diagnostics (effective-model header and response body label), passive 516 reasoning anomalies and account display.
diagnosing-bugs
Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.
release-it
Build production-ready systems with stability patterns: circuit breakers, bulkheads, timeouts, and retry logic. Use when the user mentions "production outage", "circuit breaker", "deployment pipeline", "chaos engineering", "retry storm", "health checks", "my service keeps crashing", "prevent cascading failures", or…