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.
git clone --depth 1 https://github.com/BanibrataChatterjee/AwesomeSalesforceSkillsWrote 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/commands/banibratachatterjee/awesomesalesforceskills/build-flow)<a href="https://agentmods.dev/commands/banibratachatterjee/awesomesalesforceskills/build-flow"><img src="https://agentmods.dev/badge/commands/banibratachatterjee/awesomesalesforceskills/build-flow/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/commands/banibratachatterjee/awesomesalesforceskills/build-flow"><img src="https://agentmods.dev/badge/commands/banibratachatterjee/awesomesalesforceskills/build-flow.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 | $0.00000 | $0.00554 |
| Opus 5.5 | $0.00000 | $0.00222 |
| Sonnet 5.5 | $0.00000 | $0.00111 |
| Haiku 4.5 | $0.00000 | $0.00055 |
Grade A, and why
build-flow 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 2mo 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 — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/build-flow — Design a Flow (any type) from a business requirement
Wraps agents/flow-builder/AGENT.md. Returns the Flow type decision, element plan, subflow plan, fault path, bulkification notes, and test matrix.
Step 1 — Collect inputs
Ask the user:
1. Requirement (plain English, one or two sentences)?
Example: "When a Case is created on a Platinum-tier Account, route to the Platinum Support queue and notify the account owner"
2. Target object (if implied by the requirement)?
Example: Case
3. Target org alias (required — agent checks for existing automation)?
4. Trigger context (optional)?
before-save / after-save / scheduled / screen / autolaunched
(Inferred from the requirement if omitted)
5. Expected volume (optional)?
small / medium / high (drives bulkification emphasis)
6. Include the Flow XML skeleton in the output? yes / no
(Default: no — design doc only)
Step 2 — Load the agent
Read agents/flow-builder/AGENT.md + mandatory reads, especially standards/decision-trees/automation-selection.md (the Flow-vs-Apex-vs-Agentforce gate).
Step 3 — Execute the plan
- Run the automation-selection decision tree — may route to a different tool entirely
- Probe for existing automation (
list_flows_on_object,tooling_queryon ApexTrigger) - Decompose into elements
- Subflow plan
- Bulkification review
- Test design
- Emit the design
Step 4 — Deliver the output
- Summary (Flow type chosen + confidence)
- Element plan (table)
- Subflow plan
- Fault path
- Bulkification notes
- Test matrix
- XML skeleton (only if requested)
- Process Observations
- Citations
Step 5 — Recommend follow-ups
/analyze-flow(existing Wave-1 agent) after the flow is deployed/gen-tests(existing) for any invocable Apex the flow calls/scan-security(existing) if the flow does callouts/audit-validation-rulesif the agent flagged VR-vs-flow conflicts
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.
- 2mo ago First seen · 80 lines · 0 tokens per session scan A 73d0bfc86e1e
build-flow is a command published in the GitHub repository BanibrataChatterjee/AwesomeSalesforceSkills (4 stars, last pushed 6mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 554 tokens. 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.
build-flow compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| build-flowBanibrataChatterjee/AwesomeSalesforceSkills | Command | 4 | 6mo ago | Apache-2.0 | A | 0 | Claude Code |
| checklistgithub/spec-kit | Command | 148k | today | MIT | A | 13 | Claude Code |
| clarifygithub/spec-kit | Command | 148k | today | MIT | A | 27 | Claude Code |
| specifygithub/spec-kit | Command | 148k | today | MIT | A | 13 | Claude Code |
| analyzegithub/spec-kit | Command | 148k | today | MIT | A | 26 | Claude Code |
| convergegithub/spec-kit | Command | 148k | today | MIT | A | 35 | Claude Code |
| implementgithub/spec-kit | Command | 148k | today | MIT | A | 14 | Claude Code |