pipeline-health-reviewer

pipeline-health-reviewer is a skill for Claude Code from matellez/claude-skills. It costs 140 tokens per session (1,640 once invoked), scanned A, original, MIT.

A review guide for diagnosing stalled B2B sales pipelines. A sales pipeline is the set of potential deals a company is working on, arranged by progress toward a sale.

In plain words
What is it for?
Use it to investigate stuck deals, long sales cycles, weak forecasts, uneven stage performance, or losses concentrated at a particular point in the sales process.
Why use it?
It helps separate problems in stage definitions, deal movement, qualification, or sales execution instead of treating every delay as a salesperson problem. It asks for pipeline data or runs a structured interview when data is missing.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to investigate stuck deals, long sales cycles, weak forecasts, uneven stage performance, or losses concentrated at a particular point in the sales process.

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Install with agentmods
npx agentmods add skills/matellez/claude-skills/pipeline-health-reviewer
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 matellez/claude-skills --skill pipeline-health-reviewer
Clone the repo
git clone --depth 1 https://github.com/matellez/claude-skills

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 pipeline-health-reviewer

README.md
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Your own site
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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.

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Your own site · 80×15
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Per session 140 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,640 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.
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 $0.00140 $0.01640
Opus 5 $0.00070 $0.00820
Sonnet 5 $0.00028 $0.00328
Haiku 4.5 $0.00014 $0.00164

Measured 12d ago against content hash 0101913f82e7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

pipeline-health-reviewer 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 12d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

revops/pipeline-health-reviewer/SKILL.md · 212 lines

How it starts

The opening of the file, as written. The whole thing — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Pipeline Health Reviewer: Velocity and Stage Diagnosis

This skill diagnoses why a B2B pipeline is stalling and delivers a prioritized set of structural fixes. It treats pipeline problems as systems problems, not sales performance problems, unless the evidence points clearly to the latter.


HOW TO SET UP THIS SKILL

This skill works best with specific data. Ask the user to provide as much of the following as possible:

  • Total pipeline value and number of open deals
  • Deal stage names and what percentage of pipeline sits in each
  • Average days in each stage (or average total sales cycle length)
  • Average deal size
  • Win rate and loss rate
  • Where most deals are lost (stage and reason if known)
  • Whether they have a defined ICP and qualification framework

If no data is provided, run the diagnostic as a structured interview, asking for the key numbers before delivering conclusions.


The Pipeline Diagnostic Framework

A stalling pipeline has one of four root causes. Identify which one or which combination applies before recommending fixes.


Root cause 1: Stage definition problems

Deals appear to move but do not actually progress because stages are defined by time or activity rather than buyer behavior.

Signals:

  • Deals sitting in "Discovery" or "Proposal" for 60+ days
  • Reps moving deals forward to show activity rather than real progress
  • Stage names that describe what the rep did, not what the buyer did
  • No exit criteria that requires buyer confirmation before advancing

The fix: Redefine stages around buyer actions, not sales actions. A deal should not move to "Proposal" because the rep sent a proposal. It should move when the buyer has confirmed they received it, reviewed it, and have a specific next step scheduled. This is the distinction between deal stage theater and real pipeline visibility.


Root cause 2: ICP and qualification gaps

Pipeline is full but close rates are low because deals that should not be in the pipeline are in the pipeline. This inflates the number, destroys forecast accuracy, and wastes rep time on deals that will never close.

Read the full file on GitHub · 212 lines

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. 12d ago First seen · 212 lines · 140 tokens per session scan A 0101913f82e7

Subscribe to this mod's changes

pipeline-health-reviewer is a skill published in the GitHub repository matellez/claude-skills (4 stars, last pushed 5mo ago), licensed MIT. It adds 140 tokens to every session and 1,640 once invoked, about $0.0007 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 2026-08-31.

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