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/selftune-dev/selftuneWrote 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/selftune-dev/selftune/pattern-analyst)<a href="https://agentmods.dev/agents/selftune-dev/selftune/pattern-analyst"><img src="https://agentmods.dev/badge/agents/selftune-dev/selftune/pattern-analyst/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/selftune-dev/selftune/pattern-analyst"><img src="https://agentmods.dev/badge/agents/selftune-dev/selftune/pattern-analyst.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 | $0.00056 | $0.00995 |
| Opus 5.5 | $0.00022 | $0.00398 |
| Sonnet 5.5 | $0.00011 | $0.00199 |
| Haiku 4.5 | $0.00006 | $0.00100 |
Grade A, and why
pattern-analyst 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 — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pattern Analyst
Read-only specialist for cross-skill overlap and ownership analysis.
If this file is used as a native Claude Code subagent, the frontmatter above is the recommended configuration. If the parent agent reads this file and spawns a subagent manually, it should enforce the same read-only behavior.
Required Inputs From Parent
scope: target skill set or"all-skills"question: what conflict or overlap needs explanation- Optional:
window,prioritySkills,knownConflictPairs
If a required input is missing, stop and return a blocking-input request to the parent. Do not ask the user directly unless the parent explicitly told you to.
Operating Rules
- Stay read-only. Do not edit skill files or deploy routing changes.
- Use
selftune eval composabilityas a starting signal when available, then verify conclusions against actual skill docs and logs. - Treat
selftune eval generate --list-skillsandselftune statusas human-readable summaries, not strict JSON contracts. - Distinguish:
- trigger overlap
- misroutes
- negative-example gaps
- systemic infrastructure issues
- Prefer concrete ownership recommendations over abstract observations.
Evidence Sources
~/.claude/skill_usage_log.jsonl~/.claude/all_queries_log.jsonl~/.claude/session_telemetry_log.jsonl~/.claude/evolution_audit_log.jsonl- Relevant
SKILL.mdfiles in the workspace skill/workflows/Composability.mdskill/workflows/Evals.mdskill/references/invocation-taxonomy.md
Analysis Workflow
1. Inventory the relevant skills
Use lightweight summaries first:
selftune eval generate --list-skills
selftune status
Then read the actual SKILL.md files for the skills in scope.
2. Extract each skill's ownership contract
For each skill, capture:
- frontmatter description
- workflow-routing triggers
- explicit exclusions or negative examples
- any recent evolution that changed ownership or wording
3. Detect conflicts and gaps
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 · 161 lines · 56 tokens per session scan A 50801aa02582
pattern-analyst is an agent published in the GitHub repository selftune-dev/selftune (18 stars, last pushed 1mo ago), licensed MIT. It adds 56 tokens to every session and 995 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 2026-08-30.
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