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 skills add HetCreep/CoalMine --skill scale-canarygit clone --depth 1 https://github.com/HetCreep/CoalMineWrote 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/hetcreep/coalmine/scale-canary)<a href="https://agentmods.dev/skills/hetcreep/coalmine/scale-canary"><img src="https://agentmods.dev/badge/skills/hetcreep/coalmine/scale-canary/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/hetcreep/coalmine/scale-canary"><img src="https://agentmods.dev/badge/skills/hetcreep/coalmine/scale-canary.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 | $0.00085 | $0.01896 |
| Opus 5 | $0.00043 | $0.00948 |
| Sonnet 5 | $0.00017 | $0.00379 |
| Haiku 4.5 | $0.00009 | $0.00190 |
Grade A, and why
scale-canary 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 5d 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 — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Scale Canary (Performance & Resource Allocation Audit)
Language: Generate EVERYTHING at runtime in the user's language — questions, answer options, menu labels, recommendations, report narrative. Detect from their messages; never default to English just because this file is English. English is allowed only for technical terms: commands, paths, code identifiers, severity labels (CRITICAL/HIGH/MEDIUM/LOW), and tier names (Light/Standard/Heavy).
Config reads — every config key, always the CASCADE, never the bare project file: ~/.claude/.coalmine.json first, then the project config (own agent dir → other known agent dirs → legacy <gitroot>/.coalmine.json), project wins per key. A bare project read is ABSENT on a machine configured only globally, so it silently yields defaults.
Audit code for scalability issues, performance bottlenecks, and resource leaks.
Auditing Categories
- O(N^2) Complexity — nested loops over growable collections without indexing or caching (crashes at scale).
- N+1 Database Queries — querying records in a loop instead of a batch JOIN or bulk prefetch.
- Memory Bloat / Leaks — appending to global arrays/maps without clearing them → unbounded growth.
- Blocking Main Loop — synchronous FS ops or CPU-heavy work on the main event thread (lag/hangs).
- Resource Leakage — streams, connections, or handles left open without a
finallyclose.
Per-ORM N+1 shapes, per-stack blocking patterns, and what NOT to flag: read references/checks.md before scanning.
Fix mode (choice-gated)
In Agent Context, after the report, present via ask_question:
- Apply safe optimizations: async-ify synchronous file ops; insert
finallyblocks for stream closing. Each fix: checkpoint (git stash/commit in a git repo; else copy the file aside — never assume git) → apply → build + tests → auto-revert if newly red. - Let me pick: user selects specific optimizations.
- Report only: exit unchanged.
Grants & denials (CLASSIFY-BLOCK)
| class | step it powers | grant | on denial |
|---|---|---|---|
| read | scan loops/queries/caches for the categories above | Read·Grep·Glob |
refuse that file, name it — never a clean bill |
| write | Fix mode's safe-optimization apply, incl. checkpoint → build+tests → auto-revert if newly red | Edit·Bash (checkpoint/build/revert need exec) |
report the fix as NOT applied AND the checkpoint/revert as NOT available, never claim done |
What ships with it
3 files 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.
- 5d ago Changed · +2 lines cb6109b876db
- 9d ago First seen · 76 lines · 85 tokens per session scan A 0aa310597038
scale-canary is a skill published in the GitHub repository HetCreep/CoalMine (12 stars, last pushed yesterday), licensed Apache-2.0. It adds 85 tokens to every session and 1,896 once invoked, about $0.0004 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.
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