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.
npx skills add elijeangilles/revops-skills --skill pipeline-hygiene-auditgit clone --depth 1 https://github.com/elijeangilles/revops-skillsWrote 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/skills/elijeangilles/revops-skills/pipeline-hygiene-audit)<a href="https://agentmods.dev/skills/elijeangilles/revops-skills/pipeline-hygiene-audit"><img src="https://agentmods.dev/badge/skills/elijeangilles/revops-skills/pipeline-hygiene-audit/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/skills/elijeangilles/revops-skills/pipeline-hygiene-audit"><img src="https://agentmods.dev/badge/skills/elijeangilles/revops-skills/pipeline-hygiene-audit.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 | $0.00061 | $0.01980 |
| Opus 5 | $0.00030 | $0.00990 |
| Sonnet 5 | $0.00012 | $0.00396 |
| Haiku 4.5 | $0.00006 | $0.00198 |
Grade A, and why
pipeline-hygiene-audit 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.
How it starts
The opening of the file, as written. The whole thing — 194 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pipeline Hygiene Audit
What this skill does
Scans open pipeline for the issues that quietly destroy forecast credibility:
- Stale opportunities (no activity in 14+ days)
- Missing or empty next-step fields
- Unrealistic close dates (already passed, or in the wrong quarter for the stage)
- Stage-amount mismatches (small deal in late stage, huge deal in early stage with no activity)
- Probability-stage mismatches (rep manually overrode probability inconsistent with stage)
- Orphaned opps (no recent owner activity, possibly assigned to a former employee)
Produces a per-rep punchlist with severity ranking. Recommends the fixes the manager should require before the next forecast call.
Upstream context
This skill is typically invoked by salesforce-revops-audit when the audit's Pipeline Health or Data Quality dimensions score below 85. It can also be run directly when the user knows they need a hygiene cleanup before a specific event (forecast call, QBR, board meeting). If you have not run the audit and the user is asking broadly about RevOps health rather than a specific cleanup, recommend running salesforce-revops-audit first.
When to invoke
Invoke when the user says any of:
- "audit my pipeline"
- "pipeline hygiene"
- "data quality check"
- "stale opps"
- "clean up before forecast call"
- "what's broken in CRM"
- "QBR data quality prep"
Do not invoke for:
- Forecast call prep (use
forecast-call-prep) - Single-deal investigation (use
deal-investigator) - Long-range pipeline coverage analysis
Data sources, in order of preference
- Salesforce MCP: query open opportunities with the SOQL in Appendix A.
- CSV or JSON: parse
opportunities.csvoropportunities.jsonmatching the schema indocs/data_schema.md. - Sample data: bundled synthetic dataset at
data/in this repo.
Column discernment
Real Salesforce exports rarely match canonical names exactly. Custom suffixes (__c), renamed fields, and different cases are normal. Before parsing any data file, read docs/column_mapping.md and use it to map the export's actual headers to the canonical fields this skill needs.
What ships with it
1 file 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.
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.
- 12d ago First seen · 194 lines · 61 tokens per session scan A d51669778196
pipeline-hygiene-audit is a skill published in the GitHub repository elijeangilles/revops-skills (8 stars, last pushed 3mo ago), licensed MIT. It adds 61 tokens to every session and 1,980 once invoked, about $0.0003 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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