agentleFS
HadiFrt20HadiFrt20/deepresearch/dr-status/SKILL.md

dr-status

Skill4 starsChanged 7 months agoMITView on GitHub

Show research progress dashboard. Displays completed/failed/remaining task counts, phase status, data completeness, and recent changelog entries.

The file

We split this skill into the rules it gives an agent

11 rules. About 0 are common, 3 are distinctive, and 8 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 8

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Read todo.md and count:

    line 12
  2. Very specific:

    Read .research/ROADMAP.md and show each phase with its status (NOT_STARTED, IN_PROGRESS, COMPLETE).

    line 22
  3. Very specific:

    Read all sidecar files (data/*.adversary.json).

    line 38
  4. Very specific:

    Error handling: If a sidecar file contains malformed JSON, skip it, note "[WARNING] Malformed sidecar: {filename}" in the dashboard output, …

    line 40
  5. Very specific:

    If no sidecar files exist AND provenance exists in data files → show Trust: -- (adversary not yet run)

    line 52
  6. Distinctive:

    If no sidecar files exist AND no provenance exists → show nothing (trust section omitted)

    line 53
  7. Very specific:

    If --no-adversary was used (detected by: provenance exists in data files but zero sidecar files AND the CHANGELOG contains an entry with …

    line 54
  8. Distinctive:

    If sidecar files exist → show full trust dashboard

    line 55
  9. Very specific:

    All phases complete → "Run /dr-report to synthesize findings."

    line 105
  10. Very specific:

    If todo.md is missing, tell the user to run /dr-new first.

    line 110
  11. Distinctive:

    If no data files exist yet, show task counts and phases only.

    line 111

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

You are displaying a research progress dashboard. Read the project files and present a clear status overview.

Steps

1. Task Counts

Read todo.md and count:

  • [x] — completed tasks
  • [!] — failed tasks
  • [ ] — remaining tasks
  • Total tasks

Break down by phase (P1.xx, P2.xx, etc.).

2. Phase Status

Read .research/ROADMAP.md and show each phase with its status (NOT_STARTED, IN_PROGRESS, COMPLETE).

3. Data Completeness

For each file in data/:

  • Count total entries
  • For each required schema field, calculate the percentage that are NOT "NOT_FOUND", null, or empty
  • Flag fields with >30% NOT_FOUND rate
  • Note any CONFLICTING or UNVERIFIED values

4. Recent Activity

Show the last 10 entries from .research/CHANGELOG.md.

5. Trust Score

Read all sidecar files (data/*.adversary.json). For each sidecar file:

  • Parse the JSON array of adversary verdicts
  • Error handling: If a sidecar file contains malformed JSON, skip it, note "[WARNING] Malformed sidecar: {filename}" in the dashboard output, and continue processing other files
  • Count verdicts by type: confirmed, refuted, weakened, unverifiable, and count claims still pending (claims with provenance but no matching sidecar verdict)

Calculate:

  • adversary_survival_rate: (confirmed + weakened) / (confirmed + weakened + refuted). Exclude pending and unverifiable from denominator.
  • mean_survival_score: average survival_score across all adversary-reviewed claims (those with verdict != pending)
  • pending_count: claims with provenance envelopes but no adversary verdict yet
  • total_reviewed: confirmed + weakened + refuted + unverifiable

Find the top 5 most-attacked entities by count of refuted + weakened verdicts. For each, find the claim with the lowest survival_score.

Display logic:

  • If no sidecar files exist AND provenance exists in data files → show Trust: -- (adversary not yet run)
  • If no sidecar files exist AND no provenance exists → show nothing (trust section omitted)
  • If --no-adversary was used (detected by: provenance exists in data files but zero sidecar files AND the CHANGELOG contains an entry with Adversary: disabled) → show Adversary: disabled
  • If sidecar files exist → show full trust dashboard

6. Dashboard Output

Print a formatted dashboard:

## Research Progress

Phase | Status      | Done | Failed | Remaining
------|-------------|------|--------|----------
P1    | COMPLETE    |   18 |      2 |         0
P2    | IN_PROGRESS |    5 |      1 |        14
P3    | NOT_STARTED |    0 |      0 |        20
P4    | NOT_STARTED |    0 |      0 |        25

Total: 23 done, 3 failed, 59 remaining (85 total)
Overall: 27% complete

## Data Completeness

File                    | Entries | Completeness
------------------------|---------|-------------
data/companies-p1.json  |      18 | 82%
data/companies-p2.json  |       5 | 75%

Fields below 70%: funding_amount (45%), employee_count (62%)

## Trust Score

Trust: 87% survived | Score: 0.74
Adversary: 45/52 claims reviewed (7 pending)

## Most Attacked

Entity           | Refuted | Weakened | Lowest claim
-----------------|---------|----------|-----------------------------
Regie.ai         |       2 |        1 | "funding: $30M" (0.12)
Orum             |       0 |        2 | "employee_count: 60" (0.42)

## Recent Activity

[last 10 changelog entries]

7. Suggest Next Action

Based on the state:

  • Unchecked tasks remain → "Run /dr-run to continue execution."
  • Phase just completed → "Run /dr-review to validate data quality, then /dr-improve to optimize the researcher."
  • All phases complete → "Run /dr-report to synthesize findings."
  • High failure rate (>30%) → "Run /dr-improve to analyze failures and improve the researcher."

Error Handling

  • If todo.md is missing, tell the user to run /dr-new first.
  • If no data files exist yet, show task counts and phases only.

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