demoverse: Skill for Claude Code

.claude/skills/backfill-opps/SKILL.md

backfill-opps is a skill for Claude Code from calven-ai/demoverse. It costs 81 tokens per session (1,084 once invoked), scanned A, original, MIT.

A procedure for filling in detailed records for several sample sales opportunities. It creates follow-up touch points, generates text for each opportunity, checks the results, and commits the completed data.

In plain words
What is it for?
Use it to process the next group of unfilled opportunities in a demo sales system and create their supporting details.
Why use it?
It automates repetitive backfilling while keeping each opportunity’s generated files checked and reconciled.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions subagents.

This is calven-ai/demoverse's own configuration. It tells Claude Code how to work on demoverse itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything demoverse configures →

Reuse

Borrowing it

Nothing to install: this file belongs to calven-ai/demoverse. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/calven-ai/demoverse/main/.claude/skills/backfill-opps/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/calven-ai/demoverse

Made for: Claude Code.

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README.md
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Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,084 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00081 $0.01084
Opus 5 $0.00041 $0.00542
Sonnet 5 $0.00016 $0.00217
Haiku 4.5 $0.00008 $0.00108

Measured 10d ago against content hash 95a137cabcb5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

backfill-opps 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.

.claude/skills/backfill-opps/SKILL.md · 99 lines

How it starts

The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/backfill-opps [N]

Processes the next N opportunities (default 5) end-to-end with zero operator input. The main context runs ONLY shell commands and subagent dispatch. All prose is written by opp-filler subagents (model: sonnet, one per opportunity). Never fill result files inline in the main context.

The loop

0. Pick targets

npm run apply -- --next=N

Output is one opp per line: oppId<TAB>status<TAB>accountName<TAB>untouched|planned:K. planned:K rows are planted-but-unfilled deals from an interrupted run. They resume identically (replanting is an idempotent no-op that re-emits prompts). If the list is empty, report "all opportunities filled" and stop.

1. Process in waves of 3

For each wave of up to 3 opportunities:

a. Plant (serial). The ledger is last-writer-wins, so never parallelize apply:

For each opp in the wave:

npm run apply -- --backfill-touchpoints --opp=<oppId>

Then IMMEDIATELY read state/requests/<periodIndex>/manifest.json (the period index is printed by the command) and record this opp's request list, one {artifactId, kind, output, promptFile, resultFile} per entry. The manifest is OVERWRITTEN by the next plant, so capture it before planting the next opp.

b. Fill (parallel): launch the wave's opp-filler subagents in ONE message. Give one subagent per opportunity, each with the absolute request dir and only ITS opp's request list. Result files are distinct, so parallel fills never conflict.

c. Ingest + lint + fix + reconcile + commit (serial, one opp at a time):

npm run apply -- --ingest --opp=<oppId>          # validate + file (no push yet)
  • If it reports invalid > 0: re-launch opp-filler for that opp in fix mode with the invalid artifact ids + reasons, then re-run the ingest.
npm run lint -- --opp=<oppId>
  • On error findings, run up to 2 fix rounds:
    1. For each offending artifact: npm run apply -- --refill=<artifactId> (resets it to planned and re-emits its prompt).
    2. Re-launch opp-filler in fix mode scoped to those artifacts, quoting the lint error messages verbatim.
    3. npm run apply -- --ingest --opp=<oppId> and re-lint.
  • Still failing after 2 rounds → append the opp + errors to runs/backfill-notes.md, skip the commit for this opp, continue with the next one. Never stall the batch on one deal.

Read the full file on GitHub · 99 lines

Changes

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.

  1. 10d ago First seen · 99 lines · 81 tokens per session scan A 95a137cabcb5

Subscribe to this mod's changes

backfill-opps is a skill published in the GitHub repository calven-ai/demoverse (2 stars, last pushed 7d ago), licensed MIT. It adds 81 tokens to every session and 1,084 once invoked, about $0.0004 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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