skill-monitor

skill-monitor is a skill for Claude Code from oliver-kriska/claude-elixir-phoenix. It costs 41 tokens per session (2,235 once invoked), scanned A, original, MIT.

A monitoring tool for measuring how well coding-agent skills work across sessions.

In plain words
What is it for?
Use it to review session metrics, inspect one skill, compare time windows, or generate suggestions for improving skills. It requires data from /session-scan.
Why use it?
It shows which skills are being used successfully, where they create friction, and which ones may be getting worse over time.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

Good fit Use it to review session metrics, inspect one skill, compare time windows, or generate suggestions for improving skills. It requires data from /session-scan.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/oliver-kriska/claude-elixir-phoenix/skill-monitor
Install

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.

Any agent
npx skills add oliver-kriska/claude-elixir-phoenix --skill skill-monitor
Clone the repo
git clone --depth 1 https://github.com/oliver-kriska/claude-elixir-phoenix

Made for: Claude Code.

Wrote 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.

agentmods badge for skill-monitor

README.md
[![agentmods](https://agentmods.dev/badge/skills/oliver-kriska/claude-elixir-phoenix/skill-monitor/github.svg)](https://agentmods.dev/skills/oliver-kriska/claude-elixir-phoenix/skill-monitor)
Your own site
<a href="https://agentmods.dev/skills/oliver-kriska/claude-elixir-phoenix/skill-monitor"><img src="https://agentmods.dev/badge/skills/oliver-kriska/claude-elixir-phoenix/skill-monitor/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.

agentmods 80×15 button for skill-monitor

Your own site · 80×15
<a href="https://agentmods.dev/skills/oliver-kriska/claude-elixir-phoenix/skill-monitor"><img src="https://agentmods.dev/badge/skills/oliver-kriska/claude-elixir-phoenix/skill-monitor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,235 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Anti-Refusal · line 199
    Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.
    Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00041 $0.02235
Opus 5 $0.00020 $0.01118
Sonnet 5 $0.00008 $0.00447
Haiku 4.5 $0.00004 $0.00224

Measured 13d ago against content hash 682711600d16, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

skill-monitor 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 13d 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.

.claude/skills/skill-monitor/SKILL.md · 223 lines

How it starts

The opening of the file, as written. The whole thing — 223 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill Monitor

Closed-loop skill effectiveness monitoring. Reads session metrics, computes per-skill signals, identifies what's working and what needs improvement.

Inspired by the deploy-monitor-evaluate-improve feedback loop: skills get better over time instead of staying static.

Requirements

Requires .claude/session-metrics/metrics.jsonl from /session-scan. If no data: suggest running /session-scan first.

Usage

/skill-monitor                     # Dashboard: all skills
/skill-monitor --skill review      # Deep-dive on one skill
/skill-monitor --improve           # Generate improvement recommendations
/skill-monitor --window 30d        # Change comparison window (default: 7d)

What Main Context Does

Step 1: Parse Arguments

Extract from $ARGUMENTS:

  • --skill NAME: Focus on one skill (e.g., review, plan, investigate)
  • --improve: Spawn analysis agent for improvement recommendations
  • --window PERIOD: Comparison window (7d, 30d, all; default: 7d)

Step 2: Load Metrics

Read .claude/session-metrics/metrics.jsonl. For each entry, extract the skill_effectiveness field (added by compute-metrics.py v2).

Filter by window period. Count sessions with and without skill usage.

If no skill_effectiveness data exists in metrics: "Metrics were computed before skill tracking was added. Run /session-scan --rescan to recompute."

OTel invocation_trigger (CC v2.1.126+): when compute-metrics.py ingests claude_code.skill_activated events, each invocation carries an invocation_trigger of "user-slash", "claude-proactive", or "nested-skill". If absent (older sessions), default to "unknown" — do NOT assume "user-slash".

Step 3: Compute Per-Skill Aggregates

For each skill found across all sessions, aggregate:

| Metric                  | Computation                                    |
|-------------------------|------------------------------------------------|
| Total invocations       | Sum of invocation_count across sessions        |
| Sessions used in        | Count of sessions containing this skill        |
| Action rate             | Weighted avg of per-session action_rate         |
| Avg post-errors         | Weighted avg of avg_post_errors                |
| Avg post-corrections    | Weighted avg of avg_post_corrections           |
| Outcome distribution    | Count of effective/friction/no_action/mixed    |
| Effectiveness score     | action_rate - (0.3 * avg_post_corrections)     |
| Adjusted score          | For analysis/check skills, use lower thresholds |
| Trigger distribution    | Counts of user-slash / claude-proactive / nested-skill / unknown |
| Proactive trigger rate  | claude-proactive / (user-slash + claude-proactive + nested-skill) |
| Auto-load gap           | Skills with 0 claude-proactive invocations across window |

Read the full file on GitHub · 223 lines

Files

What ships with it

2 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.

Changes

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.

  1. 13d ago First seen · 223 lines · 41 tokens per session scan A 682711600d16

Subscribe to this mod's changes

skill-monitor is a skill published in the GitHub repository oliver-kriska/claude-elixir-phoenix (544 stars, last pushed 2d ago), licensed MIT. It adds 41 tokens to every session and 2,235 once invoked, about $0.0002 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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