SKILLEMALL.ai

AC back-to-the-chronicle

Reconstruct a project’s missing founding or historical Chronicle from project-related Codex and Claude session JSONLs, automatic traces, Git history, controller ledgers, receipts, artifacts, and external-state readbacks. Use when asked to backfill a Chronicle, recover the full story, explain how a project reached its current state, create an initial Chronicle for an existing project, recover dead ends or abandoned experiments, or turn fragmented Claude/Codex/human work into an evidence-anchored operational history. Compose the Chronicle skill and preserve strict witnessed, artifact-measured, and inferred-intent boundaries.

ClawHub Agent Skills author: Antreas Antoniou v1.0.0 MIT-0 17 files body ≈ 2 097 tokens Open the sourceclawhub.ai analyzed 3 d ago

Reconstruct a project’s missing founding or historical Chronicle from project-related Codex and Claude session JSONLs, automatic traces, Git history…

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorSoftware developmentAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
95
Quality 40%
86
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Concealment medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill tells the agent to hide things from you: not to show errors, not to mention actions, to report differently from what was done. You lose the ability to see what the agent really did.

For the author

Transparency beats a smooth answer. If the goal is to hide technical noise, ask the agent to "summarise briefly", not to "not mention".

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 · 1

    ✓ No critical or high findings

    Medium and low: 1
    • medium Concealment en-hide-from-user references/chronicle-compatibility.md:5
      Instruction to hide actions from the user (documentation of a security skill)
      silently install Chronicle. Inventory and manifest validation work without it.
      security skill

    Files scanned: 17. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 53/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 20When it triggers. No condition that starts the skill
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 100Steps. 42 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2097 tokens
    • 100Running it twice. Mutating operations check current state
    • 100Progress reporting. Reports progress

    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

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • -33 of 6 scripts are never mentioned in SKILL.md
    • +2Single-language instructions
    • +3Description length 630: enough signal without eating the budget
    • +4Structure: 13 headings
    • +3Step-by-step instructions: 42 items
    • +4Has examples (3 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.

    External checks

    ClawHub: clean
    This skill is a disclosed local-history reconstruction workflow with sensitive but purpose-aligned repository and session-log access, plus manual write steps that require approval.
    LLM: benign (high) · VirusTotal: · 5 Sept 2026