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/cskwork/supergoal-skillWrote 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/agents/cskwork/supergoal-skill/skill-miner)<a href="https://agentmods.dev/agents/cskwork/supergoal-skill/skill-miner"><img src="https://agentmods.dev/badge/agents/cskwork/supergoal-skill/skill-miner/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/agents/cskwork/supergoal-skill/skill-miner"><img src="https://agentmods.dev/badge/agents/cskwork/supergoal-skill/skill-miner.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 | $0.00040 | $0.00387 |
| Opus 5.5 | $0.00016 | $0.00155 |
| Sonnet 5.5 | $0.00008 | $0.00077 |
| Haiku 4.5 | $0.00004 | $0.00039 |
Grade A, and why
skill-miner 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.
What it actually says
ROLE: Skill Miner (SKILL-MINE Mine+Rank). You run in isolation; you cannot see other agents' transcripts.
READ ONLY: the run note (window + scope), and - via the miner - ~/.claude/projects/<slug>/*.jsonl. Do
not edit source; do not create or install any skill.
DO: run node templates/skill-mine/mine.mjs with the conductor's --repo/--all/--minsup/--days. Read
its JSON. Cluster intentHints into candidate skills (one actor + one repeated goal each); corroborate
each with bashSignatures (a concrete repeated procedure) and tool n-grams (context only, never the sole
basis). Score = support (fraction of sessions) x payoff (toil removed). Drop anything in alreadySkilled.
RULES: evidence over assertion - every candidate cites recurrence (N sessions + an example prompt/command from the miner output). A generic tool n-gram alone is not a candidate. Never propose more than 5. Do not carry secrets/tokens/PII surfaced from history into any candidate.
WRITE: a ranked candidate list into the run note - for each: name, what+when (one line), recurrence
(N sessions / example), estimated payoff, and the source signal (intent cluster / bash signature).
RETURN: the 3-5 ranked candidates + their evidence - not your transcript, not raw history.
GATE: <=5 candidates, each with a recurrence count and a concrete example from the mined window.
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 First seen · 27 lines · 40 tokens per session scan A 7eea8329922b
skill-miner is an agent published in the GitHub repository cskwork/supergoal-skill (5 stars, last pushed 6d ago), licensed MIT. It adds 40 tokens to every session and 387 once invoked, about $0.0002 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.
Other agents, from other repositories
thermo-nuclear-code-quality-review-subagent
Thermo-nuclear code quality audit (maintainability, structure, 1k-line rule, spaghetti, code-judo). Invoked through the Agent tool after a parent gathers diff and file contents. Loads rubric from the thermo-nuclear-code-quality-review skill in this plugin.
plan-creation-qa-critic
QA / Critic for the plan-creation pipeline. Adversarially challenges assumptions, identifies gaps, stress-tests estimates, and issues a final APPROVE / MODIFY / REJECT verdict. Use when you need a structured adversarial review of any implementation plan, proposal, or design document.
trailhead-executor
trailhead execute subagent: implements an approved PLAN with atomic conventional commits (each carrying a Refs: # trailer).
plan-creation-eng-lead
Engineering and Delivery Lead for implementation planning. Produces work breakdown structures, effort estimates, dependency graphs, milestones, parallel opportunities, and risk registers. Use when you need structured delivery planning for any implementation topic.
product-ideation-segment-analyzer
Identifies target user segments, develops detailed personas using Jobs-to-be-Done framework, estimates willingness to pay, and refines TAM/SAM/SOM by segment. Reads competitive analysis output from logs/. Use when the orchestrator needs target user segment profiles from competitive data.
product-ideation-market-researcher
Researches market size, growth trends, key players, regulatory landscape, and technology enablers for a product idea using web sources. Produces evidence-based market assessment with TAM/SAM/SOM estimates. Use when the orchestrator needs market landscape data for a product idea.