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 agentmods add skills/saolalab/clawforce/pipeline-managementnpx skills add saolalab/clawforce --skill pipeline-managementgit clone --depth 1 https://github.com/saolalab/clawforceWrote 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/saolalab/clawforce/pipeline-management)<a href="https://agentmods.dev/skills/saolalab/clawforce/pipeline-management"><img src="https://agentmods.dev/badge/skills/saolalab/clawforce/pipeline-management.svg" alt="Measured on agentmods" 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 | $0.00021 | $0.00313 |
| Opus 5 | $0.00010 | $0.00156 |
| Sonnet 5 | $0.00004 | $0.00063 |
| Haiku 4.5 | $0.00002 | $0.00031 |
Grade A, and why
pipeline-management 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 6d 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.
What it actually says
Pipeline Management
Sales Stages
| Stage | Definition | Exit Criteria |
|---|---|---|
| Prospecting | Initial contact, qualification | Meeting scheduled |
| Discovery | Understanding needs | Pain points identified |
| Demo | Product demonstration | Technical fit confirmed |
| Proposal | Commercial offer | Proposal sent |
| Negotiation | Terms discussion | Agreement on terms |
| Closed Won | Deal signed | Contract executed |
| Closed Lost | Deal lost | Post-mortem completed |
Opportunity Scoring (BANT)
- Budget: Does the prospect have budget?
- Authority: Are we talking to decision makers?
- Need: Is there a genuine problem to solve?
- Timeline: Is there urgency to decide?
Forecasting
Commit vs Pipeline
- Commit: 90%+ probability, will close this period
- Best Case: 50-90% probability, could close
- Pipeline: <50% probability, early stage
Weighted Pipeline
Forecast = Σ (Deal Value × Stage Probability)
Pipeline Hygiene
- All opportunities have next steps
- Close dates are realistic
- Contacts are up to date
- Notes capture latest interactions
- Stage reflects true status
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.
- 6d ago First seen · 47 lines · 21 tokens per session scan A 39c5e714f1f1
pipeline-management is a skill published in the GitHub repository saolalab/clawforce (38 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 21 tokens to every session and 313 once invoked, about $0.0001 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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