Borrowing it
Nothing to install: this file belongs to briancl2/CustomerNewsletter. 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/briancl2/CustomerNewsletter/main/.github/skills/content-consolidation/SKILL.mdgit clone --depth 1 https://github.com/briancl2/CustomerNewsletterWrote 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/skills/briancl2/customernewsletter/content-consolidation)<a href="https://agentmods.dev/skills/briancl2/customernewsletter/content-consolidation"><img src="https://agentmods.dev/badge/skills/briancl2/customernewsletter/content-consolidation/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/skills/briancl2/customernewsletter/content-consolidation"><img src="https://agentmods.dev/badge/skills/briancl2/customernewsletter/content-consolidation.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 | $0.00077 | $0.01456 |
| Opus 5 | $0.00039 | $0.00728 |
| Sonnet 5 | $0.00015 | $0.00291 |
| Haiku 4.5 | $0.00008 | $0.00146 |
Grade A, and why
content-consolidation 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 11d 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 — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Consolidation
Merge, deduplicate, and filter 5 Phase 1B interim files into a single discoveries document.
Quick Start
- Read all 5 interim files from Phase 1B
- Aggregate items into a working list with source tracking
- Deduplicate: same feature from multiple sources becomes one item
- Categorize into 5 taxonomy categories
- Filter for enterprise relevance (score 5+)
- Write output to
workspace/newsletter_phase1a_discoveries_YYYY-MM-DD_to_YYYY-MM-DD.md
Inputs
All 5 Phase 1B interim files (required):
workspace/newsletter_phase1b_interim_github_*.mdworkspace/newsletter_phase1b_interim_vscode_*.mdworkspace/newsletter_phase1b_interim_visualstudio_*.mdworkspace/newsletter_phase1b_interim_jetbrains_*.mdworkspace/newsletter_phase1b_interim_xcode_*.md
Output
- File:
workspace/newsletter_phase1a_discoveries_YYYY-MM-DD_to_YYYY-MM-DD.md - Target: 20-40 items with balanced category distribution
Legacy naming note: The output filename uses
phase1a_discoveriesdespite being produced by Phase 1C. This is a historical convention preserved for compatibility with benchmark data, archived intermediates, and downstream prompt references. All downstream consumers (content-curation, prompts, agent) reference this exact name pattern.
Core Workflow
Key finding (see
reference/source-intelligence/meta-analysis.md): Cross-cycle analysis shows the pipeline does NOT cut items. 100% discovery survival in Aug+Jun+May 2025. The real editorial value is in ADDITIONS (Azure, devblogs, resources), BUNDLING (models, parity, governance), and EXPANSION (flagships). This phase should ENRICH and CONSOLIDATE, not just filter.
Step 1: Aggregate
Read all 5 interim files. For each item, record: source file, date, title, URLs, status (GA/PREVIEW), relevance score, IDE support.
Step 1.5: Enrich (Gap-Filling)
Check for known under-discovery gaps (L29, L30, L31). These sources are consistently missing from Phase 1B output but always appear in published newsletters:
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 123 lines · 77 tokens per session scan A 7829ed348472
content-consolidation is a skill published in the GitHub repository briancl2/CustomerNewsletter (11 stars, last pushed 3mo ago), licensed MIT. It adds 77 tokens to every session and 1,456 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 2026-08-30.
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