Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/BanibrataChatterjee/AwesomeSalesforceSkillsnpx agentmods add commands/banibratachatterjee/awesomesalesforceskills/new-skillWrote 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/new-skill)<a href="https://agentmods.dev/commands/banibratachatterjee/awesomesalesforceskills/new-skill"><img src="https://agentmods.dev/badge/commands/banibratachatterjee/awesomesalesforceskills/new-skill/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/new-skill"><img src="https://agentmods.dev/badge/commands/banibratachatterjee/awesomesalesforceskills/new-skill.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 | $0.00729 |
| Opus 5.5 | $0.00000 | $0.00292 |
| Sonnet 5.5 | $0.00000 | $0.00146 |
| Haiku 4.5 | $0.00000 | $0.00073 |
Grade A, and why
new-skill 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 — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/new-skill — New Skill Workflow
Triggers the skill-builder agent.
Usage
/new-skill
The agent checks local coverage first, asks targeted questions, then uses new_skill.py to scaffold a compliant package. Content is filled into the scaffold — the structure is never written from scratch.
What Happens
Step 1 — Coverage Check (do not skip)
python3 scripts/search_knowledge.py "<topic>" --domain <domain>
If has_coverage: true is returned, review the existing skill before creating a new one. Extend or differentiate — do not duplicate.
Step 2 — Scaffold
python3 scripts/new_skill.py <domain> <skill-name>
This creates the full directory structure:
skills/<domain>/<skill-name>/
├── SKILL.md ← pre-filled with TODO markers (includes Recommended Workflow section)
├── references/
│ ├── examples.md ← pre-filled with TODO markers
│ ├── gotchas.md ← pre-filled with TODO markers
│ ├── well-architected.md ← official sources PRE-SEEDED for domain
│ └── llm-anti-patterns.md ← 5+ AI-specific mistakes to avoid
├── templates/<skill-name>-template.md
└── scripts/check_<noun>.py ← stdlib-only checker stub
new_skill.py will warn if coverage already exists and ask for confirmation.
Step 3 — Fill All TODOs
Every file created by the scaffold has TODO: markers. Fill them all:
SKILL.md— description (must include "NOT for ..."), triggers (3+, 10+ chars each), tags, inputs, outputs, well-architected-pillars, full body (300+ words), and## Recommended Workflow(3–7 numbered agent steps)references/examples.md— real examples with context, problem, solutionreferences/gotchas.md— non-obvious platform behaviorsreferences/well-architected.md— WAF notes; official sources are pre-seeded, add usage contextreferences/llm-anti-patterns.md— 5+ mistakes AI assistants make in this domain: wrong output, why it happens, correct pattern, detection hintscripts/check_<noun>.py— implement the actual checks (stdlib only)
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 · 92 lines · 0 tokens per session scan A ca458c205617
new-skill 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 729 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.
new-skill compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| new-skillBanibrataChatterjee/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 |