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 BanibrataChatterjee/AwesomeSalesforceSkills --skill agent-output-formatsgit 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/skills/banibratachatterjee/awesomesalesforceskills/agent-output-formats)<a href="https://agentmods.dev/skills/banibratachatterjee/awesomesalesforceskills/agent-output-formats"><img src="https://agentmods.dev/badge/skills/banibratachatterjee/awesomesalesforceskills/agent-output-formats/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/banibratachatterjee/awesomesalesforceskills/agent-output-formats"><img src="https://agentmods.dev/badge/skills/banibratachatterjee/awesomesalesforceskills/agent-output-formats.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 | $0.00090 | $0.02351 |
| Opus 5 | $0.00045 | $0.01175 |
| Sonnet 5 | $0.00018 | $0.00470 |
| Haiku 4.5 | $0.00009 | $0.00235 |
Grade A, and why
agent-output-formats 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 9d 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 — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Output Formats
When to use this skill
Activate when:
- A consumer has run a SfSkills runtime agent and needs the result in a format beyond the canonical markdown+JSON (e.g. Excel for a security review meeting, PDF for a compliance audit, Notion card for a team wiki, ServiceNow ticket for tracking remediation).
- A request comes in to "export the agent's output as X" where X is not markdown or JSON.
- You want to avoid the pattern where the consuming AI regenerates the report from scratch in the new format, OR installs new libraries into the user's project.
Do NOT use this skill for:
- Authoring a new agent's primary output format (use
agents/_shared/DELIVERABLE_CONTRACT.md). - Designing a new agent's native output shape (use
agents/_shared/schemas/output-envelope.schema.json). - Large-scale data exports from Salesforce orgs (use
skills/data/bulk-api-2-patterns).
Core principle — convert, don't regenerate
Every runtime agent produces a canonical pair: markdown + JSON envelope. That pair IS the source of truth. When a consumer asks for Excel/PDF/etc., the correct answer is to convert from that pair, not to re-run the agent with different instructions.
Reasons:
- Reproducibility — the canonical deliverable is checked into
docs/reports/. Six months later, anyone can regenerate the Excel from it. If the consuming AI regenerates by re-asking the agent, the output may differ due to LLM stochasticity. - Auditability — the
run_idin the envelope is the tracking key. The Excel/PDF should reference it in its header, so "which run produced this?" is always answerable. - Minimal dependencies — reinstalling
exceljs,xlsxwriter,weasyprint, etc. into a consumer's project every time someone wants a different format bloats their project's dependency tree.
Conversion decision tree
START: Consumer wants deliverable in format X.
Q1. Is X markdown or JSON?
→ Already the canonical form. No conversion needed; hand them the file path.
Q2. Is X a format the consumer's existing tooling handles natively?
├── Slack message / email body → paste the TL;DR + envelope-link from the markdown
├── Confluence / Notion / Obsidian → import the markdown directly (all support markdown import)
├── Jira / ServiceNow ticket → paste TL;DR in description + link the report file
└── GitHub issue → embed markdown inline; link the report path
→ Prefer this path. Zero new dependencies.
Q3. Does the consumer want a "table" from the markdown?
├── CSV: extract markdown tables using `pandoc` (most dev machines have it)
├── Excel from the JSON envelope: use `jq` + `csv2xlsx` CLI tools (lighter than a full SDK)
└── If neither pandoc nor jq: recommend installing pandoc (1 tool, system-level, widely used)
Q4. Does the consumer want PDF?
→ `pandoc <report>.md -o <report>.pdf` — single command, no new project deps
→ If pandoc isn't available: recommend a system-wide install, NOT a project-level dep
Q5. Does the consumer want something format-specific (e.g. ServiceNow change ticket)?
→ Extract the fields from the JSON envelope (it's keyed for exactly this)
→ Template into the target system via its normal integration path
→ Do NOT ask the agent to regenerate in the target format
What ships with it
6 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.
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.
- 9d ago First seen · 200 lines · 90 tokens per session scan A 40f9cdcc1df2
agent-output-formats is a skill published in the GitHub repository BanibrataChatterjee/AwesomeSalesforceSkills (3 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 90 tokens to every session and 2,351 once invoked, about $0.0005 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 2026-09-03.
Other skills, from other repositories
agent-output-formats
Convert the canonical markdown+JSON deliverable of any SfSkills runtime agent into Excel, PDF, CSV, Notion card, ServiceNow ticket, or similar downstream format without adding dependencies to the consumer's project. NOT for an Agentforce action's output — use agentforce/agent-actions. NOT for exporting Salesforce data…
xlsx
Read, create, and convert Microsoft Excel (.xlsx) and CSV spreadsheets — extract sheets and tables to JSON, build workbooks from JSON/CSV, and export to PDF.
data-profile
Profile a CSV/TSV/Excel file - detect format, compute statistics, show value distributions.
csv-query
Run SQL queries against CSV/TSV/Excel files using Polars SQL engine.
data-clean
Clean a CSV/TSV/Excel file - fix headers, trim whitespace, remove duplicates, validate.
data-convert
Convert between CSV, TSV, Excel, JSONL, Parquet, and other tabular formats.