| name | rejection-sensitivity-check |
| description | Paste a message that stung; get a calibrated read on whether it's actually critical or neutral-but-terse. Separates evidence from interpretation to counter rejection-sensitive dysphoria. Use when user says "did they mean it that way", "is this criticism", "am I reading this wrong", "rejection check", "this stung", "rsd check", or invokes /rejection-sensitivity-check.
|
| version | 1.0.0 |
| license | MIT |
| compatibility | claude-code opencode |
| allowed-tools | ["Read","AskUserQuestion","Skill"] |
| related-skills | ["clarity-council"] |
| loop-eligible | false |
Rejection Sensitivity Check
A message landed harder than expected. The user wants to know: is this actually critical, or am I reading hostility into something neutral? This skill separates the evidence in the text from the interpretation the brain layered on top.
Sibling to break-it-down. Break-it-down is general decoding; this one is specifically for messages that triggered a rejection-sensitive reaction.
Lens: psychologist + devils-advocate
This skill always invokes clarity-council via Skill in council-multi-persona agent with personas [psychologist, devils-advocate]. The two-persona setup is the whole point — psychologist reads the text neutrally, devils-advocate stress-tests both the worst-case and the best-case reading.
- user_problem: "The user received this message and it stung. Separate what the text actually says from what the user's pattern-matching is adding. Calibrate whether the sting is warranted."
- context: the message + relationship + what the user is afraid it means + recent history with sender if shared.
- desired_outcome: "A side-by-side: evidence vs. interpretation. A calibrated read (1-5 scale). A worst-case and a best-case interpretation. A recommended response stance."
- constraints:
[do not invalidate the feeling, do not over-validate the worst-case reading, cite specific words from the message, name the cognitive distortion if one is operating]
- depth:
standard.
Never skip the council for this skill — the second perspective is the value.
When to activate
Activate when the user pastes a message that landed badly and asks if they're overreacting, misreading, or seeing things that aren't there. Ask:
- What did you read into it? (Their interpretation, before yours.)
- What's the relationship? (Recurring sender? Authority? Peer?)
- How are you feeling physically? (RSD is often a body response — naming it helps.)
Output format
What the text actually says
A neutral, evidence-only restatement. No reading-between-lines, just what's literally on the page.
What your brain is adding
The user's interpretation, restated back to them without judgment. Name it as interpretation, not fact.
Evidence-vs-interpretation table
| Their phrase | Neutral read | RSD read | Evidence weight |
|---|
| [phrase] | [neutral interpretation] | [worst-case interpretation] | Low / Medium / High |
The evidence weight is how much the text itself supports the RSD reading — not how plausible it feels.
Calibrated sting score
Warranted sting: [1-5]
- 1: Almost certainly neutral — the text contains no critical signal.
- 2: Mostly neutral with one ambiguous phrase.
- 3: Genuinely mixed — could go either way.
- 4: Critical but proportionate to the situation.
- 5: Critical and disproportionate or hostile.
One-sentence rationale.
Worst-case vs best-case reading
Worst-case: [the most negative plausible interpretation]
Best-case: [the most charitable plausible interpretation]
Most likely: [where the evidence actually points]
Recommended response stance
- If they meant the worst-case: [response]
- If they meant the best-case: [response]
- Safe middle response that works for both: [response]
What NOT to do
- Do not say "you're overreacting" — this is the voice in their head already
- Do not invalidate the feeling — RSD is real even when the reading is wrong
- Do not over-validate the worst case to seem supportive
- Do not assume the sender is neurotypical or has emotional fluency
- Do not recommend a response that requires emotional labor the user can't afford right now
