agentleFS
albertandrejevalbertandrejev/hopchase/skills/case-report/SKILL.md

case-report

Skill0 starsChanged 9 days agoMITView on GitHub

Writes a HopChase case report for a crypto tracing investigation (incident summary, compromise analysis, fund-flow diagram, hop table with confidence marks, operator profile, action pack for issuers/bridges/police, reproducibility, sources) as an editable doc with optional PDF export. Use when the user asks to "write the case report", "write up the investigation", "case report", "HopChase report", "investigation report", or after trace-funds finishes.

1 other project uses a version of this.

Adopted by

Most recently taken up by

  • Other versions1 project uses a version of this.

    Word for word · 0

    None found.

    Edited · 0

    None found.

    Wrote their own version · 1

    1. dandye/adk_runbooks★ 88same name

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

  • In this repository4 other files it gives its agents.

The file

We split this skill into the rules it gives an agent

1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  • could be automatic: a setting could enforce it
  1. Distinctive:

    No speculation about identity of the operator.

    line 33

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

HopChase case report

The case report is written for lawyers, victim-support volunteers, exchange/issuer compliance and police — readers who will act on it, not re-derive it. Every claim carries a confidence mark and a way to reproduce it.

Where it goes

Create it as a Claude Doc (Docs artifact type) titled HopChase — Incident trace <first 4>…<last 4 of seed hash> (translate the title and all headings into the user's language). Land the skeleton first (title, byline, lead, one pending block per section), then fill one section per call so the reader watches it build. Export to PDF (A4) with the docs export tool when asked; check one page renders before sending.

Lead paragraph

One paragraph, the answer first: amount + asset, date, whether the stolen funds have moved, the endpoint, and the freeze window ("90,540.81 USDC … have not moved as of this report: they sit at … and can be frozen by Circle. The operator's route is Solana → Bridgers → USDT (TRON), where 197,351 USDT has accumulated.").

Sections (fixed order; drop a section only when empty)

  1. Incident summary — table: network/asset, amount, time UTC + slot/block, seed tx link, victim wallet, recipient owner and token account, status of stolen funds as of check time, incident type, scheme endpoint. Close with the freeze-window sentence and last operator activity.
  2. Seed transaction and compromise analysis — what the tx is, what is excluded (poisoning, approve) with the evidence, client-fingerprint table (tx / who / CU limit / CU price), confidence of the compromise call, urgent advice to the victim (rotate seed, move remainder, ignore memo phishing).
  3. Fund-flow map — one diagram: victims on the left → collector (accent) → bridges → EVM twin → endpoint (critical colour); edge labels = amounts; one sentence of reading under it. Draw with the docs diagram widget (guide topic.diagram).
  4. Hop table — # | date UTC | chain | from | to | amount (in → out) | channel / orderId | status | confidence. Hop 0 = the theft. Include pre-theft hops of the same operator when they show the route. List bridge payout wallets under the table.
  5. Operator profile — table of operator addresses (chain, role, marks) + table of probable other victims (date, address, amount, "our case" marked) + total scheme damage estimate.
  6. Action pack — checklist ordered by urgency, each item with the exact address/token-account/orderId to quote. Use references/action-pack.md for contacts and wording. Always include: issuer freeze(s), police report (and why it is needed), bridge/aggregator data requests + blocklist ask, wallet-app abuse report if a channel is known, monitoring, victim hygiene.
  7. Reproducibility — table fact → how to verify with exact endpoints and request bodies (Solana RPC methods, Bridgers API body, Blockscout/TronGrid URLs); state when each check was run; list limitations (amount/time-matched links, hypothesis lists).
  8. Sources — explorer links for every hash and address, bridge docs, APIs queried with dates.

Style

  • Numbers with units and thousands separators; UTC everywhere; addresses in backticks, shortened A9a6…KmdB after the first full mention in a table.
  • Confidence marks ⭐/⭐⭐/⭐⭐⭐ in the hop table and on the compromise call; "hypothesis" spelled out for ⭐ items.
  • No speculation about identity of the operator; no victim personal data beyond addresses; no API keys or internal paths.
  • Sentences short; the reader is skimming between phone calls.

After publishing

Say in one line what the doc is; offer PDF export and an hourly monitor (scripts/recheck.py with a case.json) as the next step. If the user asks for letters (police statement, issuer freeze request, bridge data request), draft them from references/action-pack.md templates as separate docs.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.