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SKILL verified MIT Self-run

Build Case Study

skill-feedspace-feedspace-cookbook-build-case-study · by Feedspace

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Install

$ agentstack add skill-feedspace-feedspace-cookbook-build-case-study

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
1mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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How agent discovery & health will work →
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About

Build case study

Turn one strong testimonial (or a few reviews from the same customer) into a clean, structured case study draft: a customer snapshot, the challenge, the solution, the results, and a pull quote. Every line is grounded in what the customer actually said - no invented metrics, timelines, or outcomes. The source can be a Feedspace account through the Feedspace MCP, a CSV, or pasted text.

The full method lives in [references/case-study-method.md](references/case-study-method.md). Follow it exactly. It runs entirely in this session and needs no API key; pulling reviews from the Feedspace MCP is a separate, read-only connection.

Steps

  1. Get the source testimonial.
  • Feedspace MCP: first check whether it is already connected - are Feedspace tools (for example

list_workspaces) available? If yes, just use them; do not ask the user to reconnect. Find a rich candidate (a detailed video or audio testimonial, or a long text review - filter_reviews by type and 4-5 stars, or search by the customer's name), then call get_review for the full detail, including the transcript and the reviewer's name, role, and company. Only if the tools are not available, point the user to setup in [references/mcp-source.md](references/mcp-source.md), which also covers how to find candidates and where each field lives.

  • Otherwise read a CSV (see [references/csv-format.md](references/csv-format.md)) or ask the user

to paste the testimonial plus any known customer details (name, role, company).

  1. Run a completeness check, then confirm the subject. A case study rests on four pillars: who

the customer is, the challenge they faced, the solution, and the result. Tell the user which pillars the source actually supports and which are missing, so nothing gets invented to fill a gap. If the source has several different customers, build one at a time - ask which, or offer the richest.

  1. Build the case study by following

[references/case-study-method.md](references/case-study-method.md): headline options, customer snapshot, challenge, solution, results, and one verbatim pull quote - each traceable to the source, in the customer's own language.

  1. Offer one sensible next step, then stop. Options: draft a short outreach message asking the

customer to fill a missing pillar (for example the before-state or a metric), produce a shorter social-proof pull-quote version, or build a case study from a different testimonial. If the review came from the Feedspace MCP, you can also pull another candidate over the live connection.

Guardrails

  • Ground everything in the source. Never invent a challenge, a number, a timeline, a company detail,

or an outcome the customer did not state. If a pillar is missing, say so - do not manufacture it.

  • Quote the pull quote verbatim and attribute it. Do not turn a compliment into a metric or a

feature into a result.

  • If the source is too thin for a real case study (a one-liner like "Great product, love it"), say

so and offer a short testimonial highlight instead, plus what to ask the customer for.

  • Detect the language of the testimonial and write the case study in it.
  • This skill only reads and drafts. The output is a draft for the user to review, edit, and publish

themselves. The Feedspace MCP path is read-only - never modify, favourite, feature, or delete anything.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.