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/alexmond/alexmskillsWrote 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/alexmond/alexmskills/config)<a href="https://agentmods.dev/commands/alexmond/alexmskills/config"><img src="https://agentmods.dev/badge/commands/alexmond/alexmskills/config/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/alexmond/alexmskills/config"><img src="https://agentmods.dev/badge/commands/alexmond/alexmskills/config.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 | $0.00020 | $0.01866 |
| Opus 5.5 | $0.00008 | $0.00746 |
| Sonnet 5.5 | $0.00004 | $0.00373 |
| Haiku 4.5 | $0.00002 | $0.00187 |
Grade A, and why
config 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 1mo 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 — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/prompt-coach:config
Structured surface for the coach's growing config catalog. Backs onto a schema of every option (category, type, default, allowed values, description, example, since-version) so new options are picked up automatically when they're added.
What to do
-
Resolve
scripts/config.pyfrom this plugin's root (the parent of thiscommands/directory). This works in either client's cache or a dev checkout. -
Parse the user's input after
/prompt-coach:config:Direct verbs (run the script and render its output):
<empty>orshow→ runpython3 <path> showin the current cwdshow <category>→python3 <path> show <category>(categories: output, rule-activation, mastery, praise, typo-tolerance, llm-fallback)get <key>→python3 <path> get <key>describe <key>→python3 <path> describe <key>options <key>→python3 <path> options <key>(lists legal values with per-choice explanations)set <key> <value>→python3 <path> set <key> <value> --scope <scope>(scope defaults toglobalunless the user says "in this repo" / "for this repo" → then--scope repo)reset <key>→python3 <path> reset <key> --scope <scope>reset-all→python3 <path> reset-all --scope <scope>(require explicit confirmation before running without--dry-run)diff→python3 <path> diffexport→python3 <path> exportmastery→python3 <path> mastery(dashboard of mastered / in-progress / dormant rules)mastery-reset <rule-id>→python3 <path> mastery-reset <rule-id>(dry-run once first)mastery-reset-all→python3 <path> mastery-reset-all(dry-run once first, require explicit confirmation)sources [<rule-id>]→python3 <path> sources [<rule-id>](citation trail + doc URLs; add--opento open the URL(s) in a browser)paths→python3 <path> paths(the skill's own folders, state files, and runnable scripts; add--opento open the folder + docs in a file browser)analyze "<text>"→python3 <path> analyze "<text>"(run the FULL 42-rule catalog against one prompt) — oranalyze --last Nfor the last N logged prompts. Prefer/prompt-coach:analyzefor the coached narrative.
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.
- 1mo ago Changed · -6 lines dbf68724177b
- 1mo ago First seen · 102 lines · 20 tokens per session scan A 5f327ad8dc1b
config is a command published in the GitHub repository alexmond/alexmskills (10 stars, last pushed 12d ago), licensed MIT. It adds 20 tokens to every session and 1,866 once invoked, about $0.0001 per session on Opus 5.5. 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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