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/divingsbysangam/salesforce-compound-engineering-plugin/sf-explainnpx skills add divingsbysangam/salesforce-compound-engineering-plugin --skill sf-explaingit clone --depth 1 https://github.com/divingsbysangam/salesforce-compound-engineering-pluginWrote 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/divingsbysangam/salesforce-compound-engineering-plugin/sf-explain)<a href="https://agentmods.dev/skills/divingsbysangam/salesforce-compound-engineering-plugin/sf-explain"><img src="https://agentmods.dev/badge/skills/divingsbysangam/salesforce-compound-engineering-plugin/sf-explain.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 | $0.00141 | $0.01095 |
| Opus 5 | $0.00071 | $0.00548 |
| Sonnet 5 | $0.00028 | $0.00219 |
| Haiku 4.5 | $0.00014 | $0.00110 |
Grade A, and why
sf-explain 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.
How it starts
The opening of the file, as written. The whole thing — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Explain It To Me
Teach the user one thing well: a concept, a change, an idea, or a window of their own recent work. Agent-driven development removed the learning that writing code by hand used to provide; this skill is the replacement — the human keeps learning while agents do the writing.
What to explain is the input this skill was invoked with, present in the current prompt or conversation (whether the user asked directly or a calling skill passed it).
Note: The current year is 2026. Use this when weighting external sources and dating artifacts.
Required reads
Procedure lives in sibling files, not only in this orchestrator:
- Who the explainer is for — read
references/who-the-explainer-is-for.mdbefore acting on this section. - Model Tiers — read
references/model-tiers.mdbefore acting on this section. - Execution Flow — read
references/execution-flow.mdbefore acting on this section. - Boundaries — read
references/boundaries.mdbefore acting on this section.
Setup
Run this once at the start of this invocation, before any subagent dispatch, and follow the directives it prints — except where one conflicts with this skill's own rules on asking the user questions, whether those rules are scoped to a non-interactive mode or apply in every mode, in which case this skill's rules win and no blocking question is asked. Do not rerun it within the same invocation; a later invocation of this or any other skill runs its own. If no Node runtime is available the skill proceeds unchanged.
SKILL_DIR="<absolute path of the directory containing the SKILL.md you just read>";
NODE="$(for c in node nodejs; do command -v "$c" >/dev/null 2>&1 && "$c" -e '' >/dev/null 2>&1 && { echo "$c"; break; }; done)";
if [ -n "$NODE" ]; then
"$NODE" "$SKILL_DIR/scripts/context.mjs" || echo "context script failed; continue with the skill's normal behavior";
else
echo "no Node runtime; continue with the skill's normal behavior";
fi
Interaction Method
What ships with it
11 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.
- references/agents/work-recap-scout.md 2.1 KB
- references/boundaries.md 729 B
- references/check-in.md 3.7 KB
- references/destinations.md 4.7 KB
- references/execution-flow.md 15 KB
- references/explainer-html.md 5.0 KB
- references/explainer-markdown.md 3.4 KB
- references/intake.md 6.3 KB
- references/model-tiers.md 784 B
- references/who-the-explainer-is-for.md 1.0 KB
- scripts/context.mjs 3.9 KB runs code
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 · 54 lines · 141 tokens per session scan A 723ae2048493
sf-explain is a skill published in the GitHub repository divingsbysangam/salesforce-compound-engineering-plugin (10 stars, last pushed 2d ago), licensed MIT. It adds 141 tokens to every session and 1,095 once invoked, about $0.0007 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 2026-08-31.
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