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 Jaganpro/sf-skills --skill sf-flex-estimatorgit clone --depth 1 https://github.com/Jaganpro/sf-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/jaganpro/sf-skills/sf-flex-estimator)<a href="https://agentmods.dev/skills/jaganpro/sf-skills/sf-flex-estimator"><img src="https://agentmods.dev/badge/skills/jaganpro/sf-skills/sf-flex-estimator/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/jaganpro/sf-skills/sf-flex-estimator"><img src="https://agentmods.dev/badge/skills/jaganpro/sf-skills/sf-flex-estimator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
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 | $0.00112 | $0.02044 |
| Opus 5 | $0.00056 | $0.01022 |
| Sonnet 5 | $0.00022 | $0.00409 |
| Haiku 4.5 | $0.00011 | $0.00204 |
Grade A, and why
sf-flex-estimator 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 — 253 lines — stays where its author put it; the contents beside it link to each section on GitHub.
sf-flex-estimator: Agentforce & Data Cloud Flex Credit Estimation
Use this skill when the user needs a public-price estimate for:
- Agentforce prompt + action consumption
- Data Cloud monthly usage meters
- Flex Credit scenario planning
- cost optimization recommendations before build or rollout
This skill is for planning and estimation, not implementation.
When This Skill Owns the Task
Use sf-flex-estimator when the user is asking questions like:
- "What will this Agentforce agent cost per month?"
- "Estimate Flex Credits for 5 prompts, 8 actions, and Data Cloud grounding"
- "Compare low / medium / high usage scenarios"
- "How much does Private Connect add?"
- "What Flex Credit savings do we get if we reduce streaming or action count?"
Delegate elsewhere when the user is:
- building Builder metadata, Prompt Builder templates, or action wiring → sf-ai-agentforce
- authoring or fixing
.agentfiles → sf-ai-agentscript - implementing Data Cloud connections, streams, DMOs, segments, or activations → sf-datacloud and the phase-specific
sf-datacloud-*skills - creating test data or operational data imports → sf-data
- deploying metadata or runtime assets → sf-deploy
Required Context to Gather First
Ask for or infer:
- agent prompt count by tier:
starter,basic,standard,advanced - action count by type:
standard,custom,voice,sandbox - whether token overages are expected for prompts or actions
- monthly Data Cloud meter volumes, if Data Cloud is in scope
- whether Private Connect is required
- whether the estimate should model a pilot, small production, enterprise, or multiple scenarios
- whether the user wants public list-price guidance or is trying to reconcile contract-specific commercial numbers
If the user does not know exact monthly volumes, start with a baseline template and generate multiple scenarios.
What ships with it
15 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.
- assets/calculators/flex_calculator.py 14 KB runs code
- assets/calculators/tier_multiplier.py 4.1 KB runs code
- assets/templates/basic-agent-template.json 389 B
- assets/templates/data-cloud-template.json 410 B
- assets/templates/hybrid-agent-template.json 674 B
- CREDITS.md 1.4 KB
- hooks/scripts/validate_estimate.py 11 KB runs code
- LICENSE 1.1 KB
- README.md 3.2 KB
- references/agentforce-pricing.md 12 KB
- references/calculation-methodology.md 5.5 KB
- references/common-use-cases.md 2.9 KB
- references/data-cloud-pricing.md 5.1 KB
- references/edge-cases.md 2.7 KB
- references/scoring-rubric.md 14 KB
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 · 253 lines · 112 tokens per session scan A 631ca1c11313
sf-flex-estimator is a skill published in the GitHub repository Jaganpro/sf-skills (423 stars, last pushed 4mo ago), licensed MIT. It adds 112 tokens to every session and 2,044 once invoked, about $0.0006 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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