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 melodic-software/claude-code-plugins/plugin install githubWrote 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/melodic-software/claude-code-plugins/advise)<a href="https://agentmods.dev/skills/melodic-software/claude-code-plugins/advise"><img src="https://agentmods.dev/badge/skills/melodic-software/claude-code-plugins/advise.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 | $0.00147 | $0.01651 |
| Opus 5 | $0.00073 | $0.00826 |
| Sonnet 5 | $0.00029 | $0.00330 |
| Haiku 4.5 | $0.00015 | $0.00165 |
Grade A, and why
advise 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 2d 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 — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
github advise
Design/forward-looking guidance for the GitHub admin plane through the authenticated gh user.
The job: help the user decide what their setup should be and hand-hold them toward it.
That means recommendations with rationale, walkthroughs, and exact proposed changes. Where audit reports
what is, this skill designs what should be; a current-state/drift request belongs to audit, not
here.
1. Resolve the topic
Route the request through the area router at ${CLAUDE_PLUGIN_ROOT}/reference/areas.md:
$ARGUMENTS(or the user's phrasing when model-invoked) names the topic; map it to one or more area keys.- A topic spanning several areas is fine. Name the areas involved and advise across them.
- No topic given: ask what the user wants to design or set up. Do not pick one.
2. Ground every recommendation
Mechanics resolve through the method ladder at
${CLAUDE_PLUGIN_ROOT}/reference/method-ladder.md. Preflight and credential diagnosis, gh
native first, then gh api REST, then GraphQL, then UI-only detection, then guided manual with a
deep link. Non-negotiables from the ladder:
- Fetch integrity: verify a fetched page is the expected canonical surface before grounding on it.
- Refusal branch: if a doc fetch failed, was blocked, or cannot be verified as the expected page, say so and refuse to present training-data recall as grounded guidance. Label any unavoidable from-memory statement as unverified. Never blend it into grounded advice.
- Honest degradation: when a plan, scope, or modality gate blocks a surface the advice depends on, name the gate and degrade to guidance-only. Never guess what sits behind it.
3. Anchor in current state
Where the advice depends on what already exists (an org's current member privileges, an existing
ruleset, current spend), read it through the user's own gh session first and anchor the
recommendation to it. Advice against an imagined baseline is noise. Reads follow the same
read-only contract as audit.
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.
- 2d ago Changed · +5 lines 14ac8f48a9a3
- 4d ago First seen · 111 lines · 147 tokens per session scan A e87cb8bd1845
advise is a skill published in the GitHub repository melodic-software/claude-code-plugins (15 stars, last pushed today), licensed MIT. It adds 147 tokens to every session and 1,651 once invoked, about $0.0007 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 2026-09-03.
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