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/score-deployment)<a href="https://agentmods.dev/commands/banibratachatterjee/awesomesalesforceskills/score-deployment"><img src="https://agentmods.dev/badge/commands/banibratachatterjee/awesomesalesforceskills/score-deployment/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/score-deployment"><img src="https://agentmods.dev/badge/commands/banibratachatterjee/awesomesalesforceskills/score-deployment.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 | $0.00524 |
| Opus 5.5 | $0.00000 | $0.00210 |
| Sonnet 5.5 | $0.00000 | $0.00105 |
| Haiku 4.5 | $0.00000 | $0.00052 |
Grade A, and why
score-deployment 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 — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/score-deployment — Risk-score a change set before deploy
Wraps agents/deployment-risk-scorer/AGENT.md. Compares a change set against a live target org via MCP and returns HIGH / MEDIUM / LOW risk with a breaking-change list.
Step 1 — Collect inputs (ask all three)
Ask:
1. Path to the change set?
Example: force-app/main/default/ or a package.xml path
2. Target-org alias? (must be authenticated via sf CLI)
Example: uat, prod
3. Change scope?
full / delta (since last successful deploy) / a commit range
If any required input is missing, STOP.
Step 2 — Load the agent
Read agents/deployment-risk-scorer/AGENT.md fully + the devops skills and decision trees it cites.
Step 3 — Execute
Follow the 5-step plan:
- Enumerate metadata changes (objects, fields, Apex, LWC, Flows, VRs, profiles, sharing rules)
- Live-org probes (
describe_org,list_custom_objects,list_flows_on_object,validate_against_org) - Risk checks (field-deleted-in-use, required-field-added, VR-stricter, picklist-value-removed, API-version-downgrade, permission-revoked, trigger-added-to-covered-object, managed-package-field-override, sharing-rule-widened, flow-activated-in-deploy, test-coverage-unknown)
- Remediation hints per risk
- Pre-deploy smoke plan
Step 4 — Deliver
- Risk score (HIGH / MEDIUM / LOW) with confidence
- Summary table (change counts + finding counts)
- Per-finding row (severity, item, description, remediation, skill citation)
- Pre-deploy checklist (ordered TODOs)
- Post-deploy smoke steps
- Citations + any MCP tool output
Step 5 — Recommend follow-ups
/scan-securityif any security-related finding surfaced/consolidate-triggersif a new trigger was flagged for co-existence risk/detect-driftafter deploy to confirm the org matches the library
What this command does NOT do
- Does not deploy.
- Does not validate-only — recommends the user run
sf project deploy validatethemselves. - Does not override HIGH risk warnings.
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 · 67 lines · 0 tokens per session scan A 48300af8cce4
score-deployment 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 524 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 2026-09-03.
score-deployment compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| score-deploymentBanibrataChatterjee/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 |