| name | source-credibility |
| description | Activate at Layer 1 and Layer 5 of any decomposition to surface the user's highest-rated sources for the current sector and layer. Activate after any session to prompt source rating. Activate when user says "rate this source", "how good is [source]", "which sources should I use for [sector]", or "update my sources". Never activate mid-conversation unless at L1 or L5 transition.
|
Source Credibility
Purpose
A personal source registry that builds over time. Tracks which publications, analysts, and databases the user finds valuable at which layer and sector. Surfaces the right sources at the right moment — before the user goes looking. Ratings are a combination of plugin-suggested (based on usage patterns across the decomposition library) and user-confirmed.
Step 0 — Surface at Layer 1 and Layer 5
At Layer 1 (Mechanics):
Check local.md sources registry for entries matching:
- Current sector
- Layers: L1 or general
If high-rated sources exist for this sector at L1, surface them:
For [sector] mechanics, your top-rated sources are:
→ [Source 1] — [why useful at this layer]
→ [Source 2] — [why useful at this layer]
Want me to prioritise these? (yes / no / skip always)
At Layer 5 (Value Chain Actors):
Check for sources rated high at L5 for this sector, especially India-specific:
For [sector] company research, your top sources are:
→ [Source 1] — [e.g. "strong for India L5, especially funding rounds"]
→ [Source 2] — [e.g. "reliable for global players, less India coverage"]
Prioritise these for Layer 5? (yes / no)
Step 1 — Track Sources During Session
Silently note every source cited or used during the decomposition:
- Web search results referenced
- Sources from connected Drive / Notion / Gmail
- Databases queried (Tracxn, Screener, NASSCOM, Inc42)
- Publications mentioned by name
Store temporarily for the post-session rating prompt.
Step 2 — Post-Session Rating
After output is generated and library save prompt is complete, ask:
Quick source check — 60 seconds.
Help me learn which sources work best for you.
[Source 1] at [Layer] — useful?
1. Very useful
2. Somewhat useful
3. Not useful
4. Skip
[Source 2] at [Layer] — useful?
[same options]
Show maximum 3 sources per session to avoid fatigue. Prioritise sources that haven't been rated yet.
After rating:
Saved. I'll prioritise these next time you research [sector].
Step 3 — Plugin-Suggested Ratings
After 5+ decompositions in the library, the plugin analyses patterns:
- Sources that appeared at the same layer across 3+ decompositions in the same sector → suggest
high
- Sources cited once → no suggestion yet
- Sources the user rated
not useful → flag as low, deprioritise
Present suggestions periodically (not every session):
Based on your research patterns, I'd suggest rating these:
→ Inc42 for India L5 (Fintech): high — appeared in 6 of your 8 India sessions
→ Tracxn for India L5 (all sectors): high — consistent across 9 sessions
→ [Source] for L1 (EVs): medium — cited twice but you haven't rated it
Confirm these? (yes / edit / skip)
Step 4 — Source Registry Format
Stored in curiosity-stack.local.md under sources:
sources:
- name: Inc42
type: publication
sectors:
- fintech
- deeptech
- EVs
- all-india
layers:
- L5
- L6
rating: high
rated_by: user
times_cited: 12
notes: "Strong for India funding rounds and new entrants. Weaker on technical depth at L1."
last_cited: [date]
- name: Tracxn
type: database
sectors:
- all
layers:
- L5
rating: high
rated_by: plugin-suggested, user-confirmed
times_cited: 9
notes: ""
last_cited: [date]
- name: Economic Times
type: publication
sectors:
- all-india
layers:
- L0
- L1
rating: medium
rated_by: user
times_cited: 4
notes: "Good for signals and headlines, not for deep mechanics."
last_cited: [date]
Source types: publication / database / analyst / newsletter / government / exchange
Step 5 — Cross-Decomposition Pattern Surfacing
After 10+ decompositions, activate a periodic meta-insight (once per month maximum):
Pattern I've noticed across your research:
3 of your recent decompositions — EV batteries, grid storage,
and solar manufacturing — all converge at the power electronics
layer (L4). The same 2 companies appear across all three.
Want to map this as a cross-cutting theme in your library?
This would let you track that layer as a single watchlist item
rather than separately across three topics.
This surfaces non-obvious connections the user might have missed.
local.md additions
source_rating_enabled: true / false
source_auto_accept_suggestions: true / false
sources:
- name: [source name]
type: publication / database / analyst / newsletter / government / exchange
sectors: [list]
layers: [list]
rating: high / medium / low
rated_by: user / plugin-suggested / plugin-suggested-user-confirmed
times_cited: [integer]
notes: [freetext]
last_cited: [date]
