sfdx-hardis: Skill for Claude Code

.claude/skills/monitoring-notifications/SKILL.md

monitoring-notifications is a skill for Claude Code from hardisgroupcom/sfdx-hardis. It costs 76 tokens per session (4,674 once invoked), scanned A, original, AGPL-3.0.

Documentation for how sfdx-hardis monitoring commands send notifications. It covers notification types, timing, channel routing, thresholds, and the metrics or log elements attached to indicators.

In plain words
What is it for?
Use it when changing monitoring commands, notification channels, routing thresholds, indicator metrics, or indicator log elements.
Why use it?
It helps developers understand which monitoring settings must change together when they add commands, notification types, channels, or indicators.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

This is hardisgroupcom/sfdx-hardis's own configuration. It tells Claude Code how to work on sfdx-hardis itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything sfdx-hardis configures →

Reuse

Borrowing it

Nothing to install: this file belongs to hardisgroupcom/sfdx-hardis. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/hardisgroupcom/sfdx-hardis/main/.claude/skills/monitoring-notifications/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/hardisgroupcom/sfdx-hardis

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 monitoring-notifications

README.md
[![agentmods](https://agentmods.dev/badge/skills/hardisgroupcom/sfdx-hardis/monitoring-notifications/github.svg)](https://agentmods.dev/skills/hardisgroupcom/sfdx-hardis/monitoring-notifications)
Your own site
<a href="https://agentmods.dev/skills/hardisgroupcom/sfdx-hardis/monitoring-notifications"><img src="https://agentmods.dev/badge/skills/hardisgroupcom/sfdx-hardis/monitoring-notifications/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 monitoring-notifications

Your own site · 80×15
<a href="https://agentmods.dev/skills/hardisgroupcom/sfdx-hardis/monitoring-notifications"><img src="https://agentmods.dev/badge/skills/hardisgroupcom/sfdx-hardis/monitoring-notifications.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 76 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,674 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: 7 findings, up to medium

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 →

  • medium Memory Poisoning · line 23
    Skill attempts to fill the context window with filler content, displacing legitimate instructions and safety constraints. This can degrade agent performance or bypass safety boundaries.
    Fix: Implement context-window management that detects and rejects padding or stuffing attempts. Prioritize system instructions over user-injected content.
  • medium Memory Poisoning · line 27
    Skill attempts to fill the context window with filler content, displacing legitimate instructions and safety constraints. This can degrade agent performance or bypass safety boundaries.
    Fix: Implement context-window management that detects and rejects padding or stuffing attempts. Prioritize system instructions over user-injected content.
  • medium Prompt Injection · line 23
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
  • medium Prompt Injection · line 23
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
  • medium Prompt Injection · line 25
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
  • medium Prompt Injection · line 26
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
  • medium Prompt Injection · line 27
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
How audits are shown
Origin unknown 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 $0.00076 $0.04674
Opus 5.5 $0.00030 $0.01870
Sonnet 5.5 $0.00015 $0.00935
Haiku 4.5 $0.00008 $0.00467

Measured 28d ago against content hash eecc13925914, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

monitoring-notifications 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 28d 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/monitoring-notifications/SKILL.md · 224 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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. 28d ago Changed eecc13925914
  2. 1mo ago Changed 9e43f2062c2e
  3. 1mo ago Changed · +4 lines 62fc3f8fc452
  4. 2mo ago First seen · 220 lines · 76 tokens per session scan A 355d6f39c101

Subscribe to this mod's changes

monitoring-notifications is a skill published in the GitHub repository hardisgroupcom/sfdx-hardis (430 stars, last pushed yesterday), licensed AGPL-3.0. It adds 76 tokens to every session and 4,674 once invoked, about $0.0003 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.

Related

monitoring-notifications compared with skills from other repositories

monitoring-notifications next to 6 skills from other repositories
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monitoring-notificationshardisgroupcom/sfdx-hardisSkill430yesterdayAGPL-3.0A76Claude Code
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readme-generatorglincker/claude-code-marketplaceSkill381mo agoApache-2.0A18Claude Code
flow-next-tracker-syncgmickel/flow-nextSkill717yesterdayMITA44Claude Code, Codex