Kampff

Kampff

Turn text someone already published into a distance decision — with optional community collect.

Data root: env KAMPFF_DATA (default ./kampff-data).

Spelling: skill name kampff. Repo may be named kampff-skills.

Typo recognition

Philosophy (generic)

• Goal language: distance + engage cost, not therapy or persuasion playbook.
• Viewer is in the pool — same protocol for self-dossier.
• Ego/flex/stress patterns → caution / avoid without moralizing the operator.
• Refuse: stalking, covert surveillance, illegal collection, “destroy coworker” weaponization.

Community member pipeline (general feature)

Full steps: references/community-member-pipeline.md
Report shape: references/report-template.md

/kampff member {platform} {id|nick|url}
/kampff connect                 # SNS: facebook · x · instagram · linkedin · reddit
/kampff connect {platform}
/kampff analyze {path}/bundle.json
/kampff thread {post_url}          ← comment actors · intent · network · coordination
/kampff today

Default lenses

Demo samples (public repo only — synthetic):

Never replace samples with real third-party profiling. Real runs write under $KAMPFF_DATA outside the git root.

Thread actor analysis (one post)

Analyze all commenters on a single post: intent signals, malice-risk heuristics, @reply graph, coordination-looking patterns.

Not a guilty verdict — signals + graph. Feeds hot actors into later member collect.

Collection honesty (mandatory for community)

Always report:

Rules: answer completeness from artifacts, not intent. Tab labels in HTML ≠ collected. Platform caps (e.g. “recent only” APIs) → mark full? = NO (platform cap).

Details: references/collection-honesty.md.

Smoke path

Self-dossier smoke: viewer_id: me = same person as collector login.

Usage

/kampff collect --targets {path}/targets.json   # if collector wired
/kampff analyze {path}/bundle.json
/kampff today
/kampff person {id} --bundle {path}

bundle.json (minimal)

{
  "context": "workplace|community|mixed",
  "viewer_id": "me",
  "batch_date": "YYYY-MM-DD",
  "analysis_lenses": ["personal", "mbti", "cia_sat"],
  "people": [
    {
      "id": "me",
      "texts": [
        {
          "content": "...",
          "timestamp": "ISO8601",
          "source": "community_post"
        }
      ]
    }
  ],
  "meta": { "language": "en", "timezone": "UTC" }
}

viewer_id must appear in people[]. Every text needs timestamp + source.

Sources: mail · meeting · chat · messenger · community_post · community_comment · community_like · sns_post · sns_comment

spectrograph (order)

1. L1 Psych — Big Five lean, conflict style; quote evidence
2. L2 Worldview — axes + distance to viewer
3. L3 Behavioral — patterns + stability; never “innately evil”
4. L4 Alliance — trust / reciprocity / go-together
5. L5 Ephemeris — time buckets, drift
6. L6 HR — only if requested
7. L7 OSINT — only if requested; lawful only

MBTI — references/lenses-mbti.md (default community ON)
CIA/KGB-style tradecraft — references/lenses-cia-sat.md (public analytic hygiene only)

Distance scale

Hard rules

• Not medical diagnosis or legal judgment
• Inference → quote or low-confidence
• Viewer gets same scrutiny
• No scrape inside analyze; collect is separate and lawful
• MBTI never sole avoid; tradecraft never illegal ops
• Public skill repo: only synthetic samples; never commit real member dossiers, private purpose notes, or host-only paths
• Prefer English for shared sample reports; operator language OK for private chat

HTML report (default deliverable)

Community analyze always ends with HTML (not optional). Markdown is a twin/source, not the primary handoff.

1. Write {KAMPFF_DATA}/out/{date}-{id}-analysis.json per references/report-analysis.schema.md (or docs/report-analysis.schema.md)
2. Render:

   python scripts/render_kampff_report.py      -a {KAMPFF_DATA}/out/{date}-{id}-analysis.json      -b {KAMPFF_DATA}/inbox/{date}/bundle.json      -o {KAMPFF_DATA}/out/{date}-{id}-report.html
   

3. Must open/hand operator the HTML path
4. Graphs (offline SVG): drivers radar · MBTI radar · Big Five · confidence gauge · honesty triad · ACH · source donut · alliance · L5 timeline · distance map · fit snapshot
5. Skin source of truth: renderer + docs/sample-community-report.html (regenerate from docs/sample-analysis.json)
6. UX: sticky TOC · hero distance · TL;DR · print CSS · no CDN
7. Optional twin md; debate section when thread comments exist
8. Public demos: synthetic names only

Support files

• references/community-member-pipeline.md
• references/thread-actor-analysis.md — seed + cohort + directed graph + temporal
• references/human-like-collect.md — anti-bot pacing (mandatory for clien)
• references/report-template.md
• references/collection-honesty.md
• references/community-public-collect.md
• references/platform-login-harvest.md
• references/lenses-mbti.md
• references/lenses-cia-sat.md
• references/github-smoke.md
• Repo demos: docs/sample-community-report.{md,html} · docs/sample-output.md
• scripts/thread_actor_analyze.py — seed thread → directed reply graph (HTML/JSON/md)
• scripts/human_browse.py — jitter delays, cache, bot-wall stop, resume

License

MIT (see repo LICENSE). Keep third-party NOTICE when vendoring collectors.