Remove external receipt helper from discovery skill

Author: romgenie

.env.example

@@ -13,13 +13,13 @@ Part of the CompleteTech LLC agentic services skill library. This skill turns ea
 ## OpenClaw / ClawHub Metadata
 
 - Skill key: `agentic-discovery-skill`
-- Version-ready metadata: `1.0.0`
+- Version-ready metadata: `1.0.2`
 - Homepage: https://github.com/CompleteTech-LLC/agentic-discovery-skill
 - README: https://github.com/CompleteTech-LLC/agentic-discovery-skill#readme
 - Runtime binaries: `python3`
-- Python packages: `reportlab>=4.0` (optional PNG preview: `pypdfium2`, `pillow`)
+- Python packages: `reportlab==4.5.0` (optional PNG preview: `pypdfium2==4.30.1`, `pillow==12.2.0`)
 - Intended registry/discovery tags: `latest`, `complete-tech`, `codex-skill`, `agentic-development`, `agentic-workflows`, `discovery`, `scoping`, `requirements`, `pdf`, `pdf-generator`
-- License: repository code, templates, and documentation use MIT; ClawHub publishing is intentionally skipped for now.
+- License: repository code, templates, and documentation use MIT; published by CompleteTech on ClawHub.
 - Brand assets: CompleteTech LLC names, logos, seals, and brand assets are reserved; see `BRAND_ASSETS.md`.
 
 ## Workflow Diagram
@@ -104,33 +104,10 @@ The committed `example.{md,pdf,png}` use curated, realistic demonstration data f
 
 Use a direct, concrete, low-hype tone. Present discovery as bounded workflow scoping: repeated workflow, inputs, systems, tools, retrieval sources, decision points, human approvals, risks, exclusions, evaluation examples, logging, monitoring, documentation, support, and handoff. Do not invent proof, regulated-use assurances, legal claims, savings metrics, or client facts.
 
-## License
-
-Code, templates, and documentation are licensed under the MIT License. CompleteTech LLC names, logos, seals, and brand assets are reserved and are not licensed for reuse except to identify this project. See `LICENSE` and `BRAND_ASSETS.md`.
-
-## Certificate Receipts
-
-This skill can run normally without a classroom key. For certificate credit, run the skill workflow first, then request a one-time receipt from `cert.complete.tech`:
-
-```bash
-python scripts/request_receipt.py \
-  --class-id "cls_agentic_discovery_skill" \
-  --session-id "ses_YYYYMMDD_agentic_discovery_skill" \
-  --completion-key "$CT_CERT_COMPLETION_KEY"
-```
-
-The helper sends `class_id`, `session_id`, `completion_key`, `skill_id`, `skill_version`, a generated `run_id`, optional artifact hash, and metadata to `https://cert.complete.tech/api/skill-runs`. It prints the receipt code and writes a receipt JSON file. Students use the receipt code at `https://cert.complete.tech/claim`. Do not commit real completion keys.
+## Network Boundary
 
-If the skill produced a file, include it so the receipt records an artifact hash:
+This skill is local-only. It does not include outbound network helpers, callbacks, or any helper that posts discovery run metadata to an external service.
 
-```bash
-python scripts/request_receipt.py --artifact output/example.pdf
-```
-
-### Receipt Tests
-
-```bash
-python tests/test_receipt_cli.py
-```
+## License
 
-The test uses a local fake receipt API and does not require live keys or the live `cert.complete.tech` endpoint.
+Code, templates, and documentation are licensed under the MIT License. CompleteTech LLC names, logos, seals, and brand assets are reserved and are not licensed for reuse except to identify this project. See `LICENSE` and `BRAND_ASSETS.md`.

README.md

@@ -2,7 +2,7 @@
 name: agentic-discovery-skill
 description: >-
   Create CompleteTech LLC discovery and scoping artifacts for agentic development opportunities, including intake questionnaires, workflow discovery scripts, stakeholder interview guides, current/future-state workflow maps, systems/data readiness checklists, approval gate reviews, risk/excluded-use checks, success criteria, evaluation examples, pilot readiness scorecards, and proposal/SOW handoff briefs. Use before proposal, contract, invoice, or delivery work when Codex needs to gather verified facts for bounded agentic workflow services.
-version: 1.0.1
+version: 1.0.2
 metadata:
   openclaw:
     skillKey: agentic-discovery-skill
@@ -12,9 +12,13 @@ metadata:
         - python3
     install:
       - kind: uv
-        package: reportlab>=4.0
+        package: reportlab==4.5.0
       - kind: uv
-        package: pyyaml>=6.0
+        package: pypdfium2==4.30.1
+      - kind: uv
+        package: pillow==12.2.0
+      - kind: uv
+        package: pyyaml==6.0.1
 ---
 
 # Agentic Discovery Skill
@@ -108,10 +112,6 @@ python3 scripts/render_discovery.py --template requirements-brief-for-proposal-s
 - Already drafted the Markdown yourself? Render it directly: `python3 scripts/render_pdf.py --markdown artifact.md --out artifact.pdf --logo assets/logo.png --title "..."`.
 - The PDF supports a Markdown subset: `#`/`##`/`###` headings, paragraphs, `-` bullets, tables, `>` callouts, `**bold**`, and `[PAGE_BREAK]`. PDF requires `reportlab`; the optional `--png` preview requires `pypdfium2` and `pillow`. See `assets/examples/` for a rendered example.
 
-## Certificate Receipt Guidance
-
-The skill remains usable without a classroom key. When certificate credit is needed, use `scripts/request_receipt.py` after the skill run. The shared class key is provided through `CT_CERT_COMPLETION_KEY`, `--completion-key`, or a registry profile; the website claim form receives only the generated receipt code.
-
-Receipt requests include this skill ID: `agentic-discovery-skill`. The helper sends class/session IDs, the shared key, skill version, generated run ID, optional artifact hash, and metadata to `https://cert.complete.tech/api/skill-runs`. The student claims the certificate at `https://cert.complete.tech/claim` with the returned receipt.
+## Network Boundary
 
-Do not print, store, or commit real classroom completion keys.
+This skill is local-only. It does not include outbound network helpers, callbacks, or any helper that posts discovery run metadata to an external service.

SKILL.md

@@ -4,4 +4,4 @@ interface:
   default_prompt: "Use $agentic-discovery-skill to choose and draft the right discovery artifact for an agentic development opportunity."
 
 policy:
-  allow_implicit_invocation: true
+  allow_implicit_invocation: false

agents/openai.yaml

@@ -1,5 +1,5 @@
 # Branded PDF artifact rendering (scripts/render_pdf.py)
-reportlab>=4.0
+reportlab==4.5.0
 # Optional: only needed to also emit a PNG preview montage (scripts/render_pdf.py --png)
-pypdfium2>=4.30
-pillow>=10.0
+pypdfium2==4.30.1
+pillow==12.2.0