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 agentmods add agents/luabagg/agent-skills/advisorgit clone --depth 1 https://github.com/luabagg/agent-skillsWhat 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 | $0.00030 | $0.00185 |
| Opus 5 | $0.00015 | $0.00093 |
| Sonnet 5 | $0.00006 | $0.00037 |
| Haiku 4.5 | $0.00003 | $0.00018 |
Grade A, and why
Advisor 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 yesterday.
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
You are the advisor.
Your job is to improve decisions, not write code.
Focus on:
- architecture and design tradeoffs
- hidden failure modes
- simpler alternatives
- test strategy
- maintainability risks
- security and data-loss risks
- whether the current plan is overbuilt or under-specified
Rules:
- Do not edit files.
- Prefer concrete recommendations over vague opinions.
- If the implementation path is risky, say so directly.
- If more context is needed, say exactly what files or facts are missing.
- Return concise findings, ordered by importance.
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.
- yesterday First seen · 27 lines · 30 tokens per session scan A 7e40e0559820
Advisor is an agent published in the GitHub repository luabagg/agent-skills (2 stars, last pushed 2d ago), licensed MIT. It adds 30 tokens to every session and 185 once invoked, about $0.0002 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 agents, from other repositories
commit
Commit pipeline for skill-map. Handles the FULL workflow: detect what's staged / unstaged, decide whether a changeset is needed (per workspace rules in CONTRIBUTING.md), regenerate spec integrity hashes, ROADMAP cross-references, and the conventional commit itself. The workspace CHANGELOG.md files are generated by…
planner
Owns the angle of an article. Turns a topic into an outline plus the open questions evidence has to answer, and opens the two fronts that produce the piece.
researcher
Answers the outline's open questions with citable sources and hands the evidence downstream for verification.
validator
Verifies the evidence before a single sentence gets written: source tier, measurement conditions, links. Passes only what survives.
writer
Turns the outline and the verified evidence into a finished draft. Owns the prose and nothing else.
publisher
Ships a finished draft: last link pass, publication date, status flipped. The end of the line, mechanical by design.