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BC backlog

Unified backlog lifecycle management and task tracking. Orchestrates session TODOs, workspace checklists (`fix_plan.md`, `checklist.md`), and issue trackers with vendor-agnostic lifecycle contracts. Topics — triage (classify incoming requests into session/file/issue backlogs), priority (GitHub-aligned P0-P3 urgency tagging and blocker triage), sync (external tracker status polling and resolution), prune (demote lower-priority backlog noise from active focus), lifecycle (authoring, state transitions, DoD criteria), comment (post follow-up notes/sub-findings to parent issues), create (issue and intake issue creation). Use when: "backlog", "backlog triage", "backlog sync", "backlog prune", "task lifecycle", "manage backlog", "backlog priority", "backlog cleanup", "plane backlog", "issue comment".

ClawHub Agent Skills author: es6kr v0.3.1 MIT-0 19 files body ≈ 574 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

Unified backlog lifecycle management and task tracking.

As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorGitHubOperations and projectstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
93
Quality 40%
83
Run on models
none yet
Process rating
C
56/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 7

    ✓ No critical or high findings

    Medium and low: 7
    • low Dangerous commands cmd-eval-dynamic scripts/plane_create_entity.py:611
      Dynamic code execution from decoded/untrusted input (quoted — discussed, not commanded)
      f"import base64; exec(base…ode('{b64_script}').decode('utf-8'))"
      quoted
    • low Dangerous commands cmd-eval-dynamic scripts/plane_create_entity.py:673
      Dynamic code execution from decoded/untrusted input (quoted — discussed, not commanded)
      f"kubectl exec -n {k3s_…ace} {k3s_…oad} -- python3 manage.py shell -c \"import base64; exec(base…ode('{b64_script}').decode('utf-8'))\"",
      quoted
    • low Dangerous commands cmd-eval-dynamic scripts/plane_create_entity.py:679
      Dynamic code execution from decoded/untrusted input (quoted — discussed, not commanded)
      f"import base64; exec(base…ode('{b64_script}').decode('utf-8'))"
      quoted
    • low Dangerous commands cmd-eval-dynamic scripts/plane_create_issue.py:612
      Dynamic code execution from decoded/untrusted input (quoted — discussed, not commanded)
      f"import base64; exec(base…ode('{b64_script}').decode('utf-8'))"
      quoted
    • low Dangerous commands cmd-eval-dynamic scripts/plane_update_entity.py:232
      Dynamic code execution from decoded/untrusted input (quoted — discussed, not commanded)
      f"kubectl exec -n {k3s_…ace} {k3s_…oad} -- python3 manage.py shell -c \"import base64; exec(base…ode('{b64_script}').decode('utf-8'))\"",
      quoted
    • low Dangerous commands cmd-eval-dynamic scripts/plane_update_entity.py:249
      Dynamic code execution from decoded/untrusted input (quoted — discussed, not commanded)
      f"import base64; exec(base…ode('{b64_script}').decode('utf-8'))",
      quoted
    • low Secrets in code secret-high-entropy-token scripts/test_plane_priority_mapping.py:128
      High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file)
      class Test…ion(unittest.TestCase):
      fixture

    Files scanned: 19. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "depends-on"

    Process rating: all ten parameters 56/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 4 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 100Tools and files. Tools declared in frontmatter
    • 100Steps. 4 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 574 tokens

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Description length 804: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • -312 of 12 scripts are never mentioned in SKILL.md
    • +2Single-language instructions
    • +5Description quotes 10 example trigger phrases
    • +4Structure: 6 headings
    • +3Step-by-step instructions: 4 items
    • +4Has examples (1 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.

    External checks

    ClawHub: suspicious
    This backlog skill is a real task-tracker automation tool, but it also includes under-scoped Plane, Kubernetes, SSH, and direct database write paths that need review before installation.
    LLM: suspicious (high) · 10 Sept 2026