Borrowing it
Nothing to install: this file belongs to BanibrataChatterjee/AwesomeSalesforceSkills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/BanibrataChatterjee/AwesomeSalesforceSkills/main/AGENTS.mdgit 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/instructions/banibratachatterjee/awesomesalesforceskills/agents-md)<a href="https://agentmods.dev/instructions/banibratachatterjee/awesomesalesforceskills/agents-md"><img src="https://agentmods.dev/badge/instructions/banibratachatterjee/awesomesalesforceskills/agents-md/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/instructions/banibratachatterjee/awesomesalesforceskills/agents-md"><img src="https://agentmods.dev/badge/instructions/banibratachatterjee/awesomesalesforceskills/agents-md.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 | $0.00523 | $0.00523 |
| Opus 5 | $0.00262 | $0.00262 |
| Sonnet 5 | $0.00105 | $0.00105 |
| Haiku 4.5 | $0.00052 | $0.00052 |
Grade A, and why
AwesomeSalesforceSkills AGENTS.md 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 10d 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 — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Repo-local agent instructions live in AGENT_RULES.md.
Any coding agent working in this repository must:
- Read
AGENT_RULES.mdbefore creating or materially revising a skill. - Treat
SKILL.mdfrontmatter as the canonical skill metadata source. - Use
python3 scripts/search_knowledge.pybefore creating a new skill or claiming a coverage gap. - Run
python3 scripts/skill_sync.pyandpython3 scripts/validate_repo.pyafter skill changes. - Never hand-edit generated files in
registry/,vector_index/, ordocs/SKILLS.md.
Working on agents (not skills)
Agents live under agents/<slug>/AGENT.md. Before editing or adding one:
- Read
agents/_shared/AGENT_CONTRACT.mdfor the frontmatter spec, required section order, confidence rubric, and structured citation/output formats. - For skill-builder agents, also read
agents/_shared/SKILL_BUILDER_CORE.md. - Reuse probes from
agents/_shared/probes/instead of hand-rolling MCP queries. - Use refusal codes from
agents/_shared/REFUSAL_CODES.mdin output envelopes.
After editing any AGENT.md run:
python3 scripts/validate_repo.py --agents
validate_repo.py --all runs both skill and agent validation (slow; skill
compilation + query fixtures). Use --agents or --skills-only for fast
iteration.
Reading / updating the skill queue
MASTER_QUEUE.md is the authoritative queue. Do not grep/sed it — use:
python3 scripts/queue_reader.py --summary
python3 scripts/queue_reader.py --next --status TODO,RESEARCHED
python3 scripts/queue_reader.py --set-status IN_PROGRESS \
--id <skill-name-or-row-id> --actor "<agent-name>@<host>"
See docs/QUEUE_FORMAT_PROPOSAL.md for the reader contract and the deferred
YAML migration plan.
Running agent evals
python3 evals/agents/scripts/run_agent_evals.py --structure # lint fixtures
python3 evals/agents/scripts/run_agent_evals.py --agent field-impact-analyzer --output path/to/output.json
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.
- 10d ago First seen · 56 lines · 523 tokens per session scan A 3260572781fe
AwesomeSalesforceSkills AGENTS.md is an instructions file published in the GitHub repository BanibrataChatterjee/AwesomeSalesforceSkills (3 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 523 tokens to every session, about $0.0026 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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